Company Details
324,578
39,689,549
5112
goo.gle
1937
GOO_2660260
Completed

Google Company CyberSecurity Posture
goo.gleA problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
Company Details
324,578
39,689,549
5112
goo.gle
1937
GOO_2660260
Completed
Between 700 and 749

Google Global Score (TPRM)XXXX

Description: Google commenced notifying its staff members of a breach of data that happened at a third-party company that provides benefits. Google Inc. began informing the concerned parties of an email gaffe that resulted in a data breach containing their private and sensitive information. The revelation followed the discovery by a vendor specialising in employee/staff benefits administration services that an email containing confidential, sensitive data about Google personnel had been accidentally forwarded to the incorrect recipient. Based on preliminary reports, no evidence of misuse, abuse, or malevolent intent was found. Additionally, according to logs from both parties, no one else has willfully seen, stored, or released this document locally, remotely, or to any other party.
Description: Google has rolled out passkeys to users of its Advanced Protection Program (APP), enhancing account security for individuals at risk of targeted digital attacks. Passkeys, a cryptographic authentication replacement for passwords, offer a higher security level by being stored locally and protected by biometric or PIN verification. Google's initiative addresses the explosive growth of digital crime, simplifying and strengthening user protection against phishing and fraud, especially for users in the public eye or engaging in controversial work. While previously dependent on hardware tokens for two-factor authentication, APP now provides the convenience of passkeys without compromising on security, thus sustaining user trust by mitigating potential risks associated with compromised account credentials.
Description: Images of the upcoming Google Pixel 9a have allegedly leaked, showing the colors and design of the device, including AI features and other hardware details. The leaks, including those from tipster Evan Blass, hint at the absence of the signature Pixel camera visor, among other features. These leaks may impact the anticipation and marketing strategies for the release of the Pixel 9a. As the leaks continue, they potentially affect customer expectations and company reputation, even though the actual device specifics are yet to be confirmed.
Description: The California Office of the Attorney General reported a data breach involving Google Inc. on May 6, 2016. The breach occurred on March 29, 2016, when a third-party vendor mistakenly sent a document containing names and Social Security numbers of some Googlers to an unauthorized recipient. The number of affected individuals is currently unknown.
Description: McAfee researchers discovered 15 SpyLoan Android apps on Google Play that had been downloaded over 8 million times. These apps targeted users mostly in South America, Southeast Asia, and Africa by masquerading as legitimate financial aid applications. They implemented social engineering techniques to extort sensitive user data and permissions that could lead to harassment and financial loss. The malicious activities promoted through deceptive ads led users to install apps that exploit personal data. Once installed, the apps asked for inappropriate permissions, resulting in various privacy infringements. Victims were subjected to intimidation and threats, with one operation linked to a call center in Peru harassing over 7,000 individuals across multiple countries.
Description: The attack involved a sophisticated phishing campaign targeting users via deceptive emails disguised as legitimate communications from Google, complete with official branding. The emails lured recipients with offers for web referencing services or product resale, ultimately directing them to contact a WhatsApp number. By shifting the interaction to WhatsApp—a private messaging platform—the attackers bypassed Google’s internal monitoring systems, enabling unrestricted fraudulent activity. Victims were likely exposed to financial scams, credential harvesting, or further social engineering exploits under the guise of business transactions. While the article does not specify data breaches or direct financial losses to Google itself, the reputational damage stems from the exploitation of its brand to facilitate fraud, eroding user trust in its email security measures. The attack leveraged psychological manipulation and platform gaps to execute the scam, highlighting vulnerabilities in user awareness and cross-platform security oversight.
Description: Over 32,000 users have been impacted by the Mandrake Android spyware, which was embedded in five apps on the Google Play Store. This malicious software enabled attackers to gain full control of infected devices and exfiltrate personal data. The spyware employed sophisticated evasion and obfuscation techniques, including the hiding of its malicious payload in native libraries and implementing a kill-switch to remove all traces of its presence. Despite the advanced nature of the attack, the apps remained undetected on the official marketplace for an extended period, evidencing the significant threat and potential impact on users' privacy and security.
Description: A significant search engine optimization (SEO) campaign hacked over 15,000 websites. The threat actors set up the attack to divert website visitors to phoney Q&A discussion boards. The attacks were mostly discovered by Sucuri, and according to analysis, each compromised site that is utilized as a part of the plan comprises about 20,000 files used in the campaign to spam search engines, with WordPress making up the majority of the sites. The threat actors probably tried to conduct ad fraud.
Description: The SpyLend malware, distributed through Google Play as the app 'Finance Simplified', targeted Indian users and facilitated financial crimes. Infected over 100,000 devices, the malware offered fake loan applications that captured extensive personal data, including contacts, call logs, and photos. This accessed sensitive information was then utilized for blackmail and extortion, with some cases involving manipulated victims' photos. Despite negative reviews on Google Play, the app's rapid download growth within a week and the misuse of personal data for predatory practices highlight a significant lapse in app store security and user safety.
Description: Google Play was infiltrated by Mandrake Android spyware, resulting in over 32,000 downloads of compromised apps since 2022. This sophisticated malware allowed attackers complete control over infected devices, securing sensitive data exfiltration, and used a 'seppuku' feature for self-removal after its malicious deeds, thus leaving no traces. Despite the apps remaining undetected on the official platform for a significant period, most affected users are from countries like Canada, Germany, Italy, Mexico, Spain, Peru, and the UK, with one app alone achieving over 30,000 downloads. The discovery underscores the evolving tactics of attackers and the challenges faced by marketplaces in preventing sophisticated threats.
Description: In its May 2025 Android Security Bulletin, Google addressed 47 distinct flaws in the Android platform, including one zero-day vulnerability (CVE-2025-27363) actively exploited in the wild. The critical issue resides in the FreeType font library, which millions of devices use to render text. A specially crafted TrueType GX or variable font file can trigger an out-of-bounds write, allowing an attacker to run arbitrary code at the system level without any user interaction. Facebook first flagged the exploit in March, warning that threat actors may already have weaponized it. The vulnerability affects all Android versions embedding vulnerable FreeType releases prior to 2.13.0, and until devices receive the May update, they remain exposed. Google has notified OEM partners at least one month before public disclosure, but patch availability will vary by brand and model. Users are strongly advised to install the May 5, 2025 (or later) security update as soon as it appears on their device and to run active anti-malware protection to guard against potential attacks leveraging this flaw.
Description: A critical vulnerability in Arm’s Mali GPU driver has been discovered, allowing malicious Android applications to bypass Memory Tagging Extension (MTE) protections and achieve arbitrary kernel code execution. This vulnerability, designated CVE-2025-0072, affects devices equipped with newer Arm Mali GPUs, including Google’s Pixel 7, 8, and 9 series smartphones. The exploit involves manipulating the CSF queue binding and unbinding processes within the driver, creating a use-after-free condition that enables the manipulation of GPU memory management structures. This vulnerability underscores the potential to compromise device security and demonstrates that modern hardware security extensions can be bypassed through sophisticated driver-level attacks.
Description: Google has issued an urgent warning about a critical vulnerability in Google Chromium, designated as CVE-2025-6558. The vulnerability, caused by improper input validation in Chromium’s ANGLE and GPU components, allows attackers to execute sandbox escape attacks through malicious HTML. This vulnerability affects all Chromium-based browsers, including Google Chrome, Microsoft Edge, and Opera, potentially putting millions of users at risk. The flaw enables remote code execution and bypasses browser security controls, making it a significant threat to users' data and system integrity.
Description: A critical zero-day vulnerability, CVE-2025-6554, in Google Chrome's V8 JavaScript engine is being exploited by attackers. This flaw allows remote attackers to perform arbitrary read and write operations via malicious HTML pages, potentially leading to complete system compromise. The vulnerability affects not only Google Chrome but also other Chromium-based browsers like Microsoft Edge and Opera. The broad attack surface poses significant risks, and immediate mitigation is required to prevent widespread exploitation.
Description: A critical zero-day vulnerability in Google Chrome’s V8 JavaScript engine, identified as CVE-2025-5419, has been actively exploited by cybercriminals. This flaw allows remote attackers to execute arbitrary code on victims’ systems through specially crafted HTML pages. The vulnerability, acknowledged by CISA, affects Google Chrome versions prior to 137.0.7151.68 and poses significant risks to millions of users worldwide. The flaw was discovered and reported by security researchers from Google’s Threat Analysis Group on May 27, 2025. Google responded swiftly, implementing an initial mitigation and releasing emergency security updates on June 3, 2025.
Description: Google's Advanced Protection Program (APP) users faced targeted digital attack risks but now have access to passkeys, a cryptographic authentication system offering a higher security level than passwords. Passkeys, which can be stored locally and protected with biometrics or a pin, are less susceptible to phishing and do not require carrying an additional physical token. This shift enhances security for public figures and those involved in controversial work who are at high risk. Despite being a significant step forward in cybersecurity, there's no indication that user data has been compromised as a result of previous vulnerabilities.
Description: Google released an emergency update for the Chrome browser to patch an actively exploited vulnerability that could allow attackers to steal sensitive information. The vulnerability, tracked as CVE-2025-4664, affects the Chrome Loader component, which manages resource requests. The flaw allows attackers to set a referrer-policy in the Link header, causing Chrome to include full URLs with sensitive query parameters. This could lead to the theft of OAuth tokens, session identifiers, and other private data. Users are advised to update their Chrome browsers immediately to versions 136.0.7103.113/.114 for Windows and Mac, and 136.0.7103.113 for Linux.
Description: Security researchers have uncovered a significant vulnerability in Google Gemini for Workspace that enables threat actors to embed hidden malicious instructions within emails. The attack exploits the AI assistant’s 'Summarize this email' feature to display fabricated security warnings that appear to originate from Google itself, potentially leading to credential theft and social engineering attacks. The vulnerability affects Gmail, Docs, Slides, and Drive, potentially enabling AI worms across Google Workspace.
Description: Security researchers identified three critical vulnerabilities in **Google’s Gemini AI assistant**, dubbed the 'Trifecta,' which could have allowed attackers to exploit hidden prompts in web requests, inject malicious commands via Chrome browsing history, and exfiltrate stored user data (including location and saved information) to external servers. The flaws affected **Gemini Cloud Assist, Search Personalization Model, and Browsing Tool**, enabling potential unauthorized control over cloud resources and AI-driven data leaks. While Google patched the issues by blocking dangerous links and reinforcing prompt injection defenses, the vulnerabilities may have been exploited before mitigation—particularly by users interacting with malicious websites or Gemini-tied cloud services. The incident underscores AI’s emerging role as both an attack vector and a target, with risks escalating as AI integrates deeper into daily-use services. Though the immediate threat is contained, the exposure highlights systemic gaps in AI security, where novel features may outpace safeguards, leaving user data and system integrity at risk.
Description: A significant security vulnerability, known as 'ImageRunner', was identified in Google Cloud Platform affecting Google Artifact Registry and Google Container Registry. The issue allowed escalated privileges to access private container images, risking data leaks and unauthorized access. Although fixed, the vulnerability could enable attackers to exploit permissions via Cloud Run to extract sensitive information or infiltrate cloud resources. The exploit required specific Cloud Run edit permissions and could be utilized to create a malicious revision to exfiltrate data or compromise the service. Google addressed this by requiring explicit permissions for accessing container images during Cloud Run deployments.
Description: Security researchers uncovered **Pixnapping**, a 12-year-old resurrected data-stealing attack exploiting a hardware side channel (GPU.zip) in Android devices (versions 13–16). The vulnerability (**CVE-2025-48561**) allows malicious apps to **steal sensitive data** from other apps (e.g., Google Maps, Signal, Venmo, Gmail) and websites, including **2FA codes from Google Authenticator**, by inferring pixel values via rendering time analysis. The attack leverages Android’s **Custom Tabs API**, **Intents**, and **blur API** to overlay semi-transparent windows and measure VSync callbacks, bypassing cross-origin restrictions. While Google issued partial patches in **September and December 2024 security bulletins**, researchers found a **workaround** (under embargo), and the core **GPU.zip side channel remains unpatched**. The attack’s slow leak rate (0.6–2.1 pixels/sec) is sufficient to exfiltrate critical data like authentication tokens. Google confirmed **no in-the-wild exploitation** yet, but the vulnerability exposes users to **large-scale credential theft, financial fraud, and account takeovers**. The flaw also enables attackers to **enumerate installed apps**, a privacy violation Google deemed unfixable. Mitigation efforts are ongoing, but the risk persists due to Android’s architectural limitations.
Description: Google confirmed a critical security flaw in Chrome affecting billions on various platforms. Identified as CVE-2025-2476, this critical memory vulnerability in the Chrome Lens component allows execution of arbitrary code via crafted web pages. Reported by SungKwon Lee, the use-after-free issue poses a threat to user data and system control, prompting an urgent update. Pre-update versions of Chrome on Windows, Mac, Linux, and Android are susceptible to heap corruption and potential system compromise. Users with privileges are at risk of unauthorized program installation, data access, and system control. Google addressed the vulnerability with updates in March 2025 and advised immediate user action to secure systems.
Description: A critical supply chain vulnerability dubbed 'GerriScary' (CVE-2025-1568) was discovered in Google's Gerrit code collaboration platform. This vulnerability allowed attackers to inject malicious code into at least 18 major Google projects, including ChromiumOS, Chromium, Dart, and Bazel. The flaw exploited misconfigurations in Gerrit, enabling unauthorized users to compromise trusted software repositories through a sophisticated attack chain. The vulnerability impacted critical projects across multiple domains, highlighting the potential for significant damage to Google's operations and reputation.
Description: Researchers exploited a previously unknown Use-After-Free (UAF) vulnerability in the Linux HFSC queuing discipline to compromise all Google kernelCTF instances (LTS, COS, and mitigation) as well as fully patched Debian 12 systems. The vulnerability, designated as CVE-2025-38001, involved a logic flaw in hfsc_enqueue() and NETEM’s packet duplication bug, leading to an infinite RBTree loop and subsequent UAF condition. The attackers were able to achieve root access on Debian 12 and all Google kernelCTF instances, highlighting the importance of manual code reviews along with automated fuzzing.
Description: McAfee researchers uncovered 15 SpyLoan Android apps available on Google Play, cumulatively achieving over 8 million installs, mainly targeting users across South America, Southeast Asia, and Africa. These apps engaged in social engineering tactics to siphon off sensitive user data and gain excessive permissions, leading to incidents of extortion, harassment, and considerable financial loss for the users. As a result of these malicious activities, some applications were taken down by Google for breaching Google Play policies, while others underwent updates by their developers to comply with regulations. Victims of these SpyLoan apps experienced various threats, including misuse of personal data and aggressive harassment strategies such as spamming contacts and leveraging personal photos or IDs for intimidation.
Description: A **Use-After-Free (UAF) vulnerability (CVE-2019-5786)** was discovered in **Google Chrome’s FileReader API**, exposing millions of users to remote code execution (RCE) risks. The flaw arose when JavaScript triggered the destruction of `FileReader` objects while asynchronous file operations were still pending, creating a window for attackers to manipulate freed memory during callback execution. Exploiting this, adversaries could craft malicious web pages to corrupt memory, bypass Chrome’s sandbox protections, and execute arbitrary code within the browser’s renderer process.The vulnerability was particularly severe due to Chrome’s widespread use and the complexity of its JavaScript engine, which manages intricate object lifecycles. Attackers leveraged **heap spraying** and **type confusion** techniques to overwrite critical data structures, enabling full system compromise on unpatched devices. While Google patched the issue in an emergency update (Chrome 72.0.3626.121), the exploit demonstrated how UAF vulnerabilities in memory-unsafe languages (C/C++) remain a persistent threat, even in modern, sandboxed applications. The incident underscored the need for stricter memory safety mechanisms, such as **AddressSanitizer (ASan)** in development and **Control Flow Integrity (CFI)** in production.
Description: Cybersecurity and Infrastructure Security Agency (CISA) added the Google Chrome zero-day to its catalog of exploited vulnerabilities. The bug exists in a third-party library that other projects similarly depend on, but haven’t yet fixed. An attacker could exploit the vulnerability and compromise a victim when they simply visit a website that hosts malicious HTML code.
Description: Google Chrome encountered a critical zero-day vulnerability identified as CVE-2025-2783, being exploited through a campaign named Operation ForumTroll. Targeting various institutions, the flaw allowed attackers to escape Chrome’s sandbox, potentially enabling them to execute arbitrary code on victims' systems, with minimal interaction. Despite a prompt patch release in Chrome version 134.0.6998.177/.178, the situation posed espionage risks, likely attributed to an APT group's involvement. Organizations were urged to upgrade their browsers and enhance security protocols to prevent exploitation.
Description: In 2025, **X** suffered a catastrophic data breach stemming from misconfigured backend systems and insider threats during layoffs. Over **200 million user records** (later expanded to **2.8 billion records totaling 400GB**) were exposed, including **emails, bios, follower counts, user IDs, locations, and interaction histories**. The leak originated from legacy Twitter infrastructure clashing with new AI-driven features (e.g., Grok AI), bypassing privacy controls and enabling public API access to private data. Opportunistic scrapers and disgruntled employees exploited the vulnerability, fueling black-market data sales. The breach triggered **regulatory investigations (GDPR, FTC)**, **advertiser pullbacks**, **class-action lawsuits**, and **user migration** due to eroded trust. Financial losses included **$285,000/hour during outages**, with long-term reputational and legal costs projected in the billions. The incident underscored systemic failures in **access controls, transparency, and AI integration**, amplifying calls for federal privacy reforms.


Google has 3309.09% more incidents than the average of same-industry companies with at least one recorded incident.
Google has 2207.69% more incidents than the average of all companies with at least one recorded incident.
Google reported 15 incidents this year: 2 cyber attacks, 0 ransomware, 12 vulnerabilities, 1 data breaches, compared to industry peers with at least 1 incident.
Google cyber incidents detection timeline including parent company and subsidiaries

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh


Rakuten Group, Inc. (TSE: 4755) is a global technology leader in services that empower individuals, communities, businesses and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content and communications to 2 billion m

With our unique ability to offer end-to-end solutions that connect the three pillars of IoT - Sensors, Software, and Services, we enable businesses to move from the traditional to the digital, or improve businesses by introducing a digital element in their products and processes. Now more than ever

DiDi Global Inc. is a leading mobility technology platform. It offers a wide range of app-based services across Asia Pacific, Latin America, and other global markets, including ride hailing, taxi hailing, designated driving, hitch and other forms of shared mobility as well as certain energy and vehi

Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we wo

Wolt is a Helsinki-based technology company with a mission to bring joy, simplicity and earnings to the neighborhoods of the world. Wolt develops a local commerce platform that connects people looking to order food, groceries, and other goods with people interested in selling and delivering them. Wo

Dassault Systèmes is a catalyst for human progress. Since 1981, the company has pioneered virtual worlds to improve real life for consumers, patients and citizens. With Dassault Systèmes’ 3DEXPERIENCE platform, 370,000 customers of all sizes, in all industries, can collaborate, imagine and create

The first business of Alibaba Group, Alibaba.com (www.alibaba.com) is the leading platform for global wholesale trade serving millions of buyers and suppliers around the world. Through Alibaba.com, small businesses can sell their products to companies in other countries. Sellers on Alibaba.com are t
Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, and media and entertainment. We empower innovators everywhere to solve challenges, big and small. From greener buildings to smarter products and mo
Starting our journey in 2011, today, bigbasket - a Tata Enterprise is India’s largest online supermarket with over 13 million customers and a presence in 60+ cities & towns. With our presence spanning the entire spectrum of consumer needs, we operate through a range of business lines - bigbasket, bb
.png)
Today's Two-Minute Tech Briefing covers Apple's reported plan to use Google's Gemini AI to enhance Siri while keeping data private, cybersecurity pros...
When sharing insights on cybersecurity for the year ahead, we focus on real-world data and observable trends rather than speculative...
Google uncovered the global 'Lighthouse' phishing network, a smishing-as-a-service scam that hit 1M+ victims across 120 countries.
Google, the American tech giant, has filed a lawsuit against a Chinese company for allegedly using its logo and brand name in a large-scale phishing scheme...
Google and the FBI warn of new AI, job and delivery scams targeting shoppers and jobseekers as holiday season fraud spikes.
Google files RICO lawsuit against Lighthouse phishing-as-a-service operation.
Google security leaders highlighted in the Cybersecurity Forecast 2026 report that cybercrime will remain the foremost disruptive threat to...
The cybersecurity landscape stands at a critical inflection point as organizations prepare for unprecedented challenges in 2026. Google...
Google says it has discovered at least five malware families that use AI to reinvent themselves and hide from defenders.

Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of Google is https://goo.gle/3DLEokh.
According to Rankiteo, Google’s AI-generated cybersecurity score is 735, reflecting their Moderate security posture.
According to Rankiteo, Google currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, Google is not certified under SOC 2 Type 1.
According to Rankiteo, Google does not hold a SOC 2 Type 2 certification.
According to Rankiteo, Google is not listed as GDPR compliant.
According to Rankiteo, Google does not currently maintain PCI DSS compliance.
According to Rankiteo, Google is not compliant with HIPAA regulations.
According to Rankiteo,Google is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Google operates primarily in the Software Development industry.
Google employs approximately 324,578 people worldwide.
Google presently has no subsidiaries across any sectors.
Google’s official LinkedIn profile has approximately 39,689,549 followers.
Google is classified under the NAICS code 5112, which corresponds to Software Publishers.
Yes, Google has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/google.
Yes, Google maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/google.
As of November 27, 2025, Rankiteo reports that Google has experienced 29 cybersecurity incidents.
Google has an estimated 26,564 peer or competitor companies worldwide.
Incident Types: The types of cybersecurity incidents that have occurred include Cyber Attack, Vulnerability, Ransomware, Breach and Malware.
Total Financial Loss: The total financial loss from these incidents is estimated to be $285 trillion.
Detection and Response: The company detects and responds to cybersecurity incidents through an third party assistance with sucuri, and remediation measures with removal of malicious extensions, and communication strategy with informing concerned parties, and remediation measures with introduction of passkeys, and communication strategy with public announcement of passkey rollout, and containment measures with apps taken down, containment measures with updates by developers, and remediation measures with urgent update to chrome, and communication strategy with public advisory to update chrome, and containment measures with patch release in chrome version 134.0.6998.177/.178, and remediation measures with upgrade browsers, remediation measures with enhance security protocols, and remediation measures with requiring explicit permissions for accessing container images during cloud run deployments, and remediation measures with install may 5, 2025 (or later) security update, remediation measures with run active anti-malware protection, and remediation measures with emergency update to chrome browser versions 136.0.7103.113/.114 for windows and mac, and 136.0.7103.113 for linux, and communication strategy with advisory to update chrome browser immediately, and remediation measures with arm addressed the vulnerability in mali driver version r54p0, and containment measures with initial mitigation through a configuration change, and remediation measures with emergency security updates, and remediation measures with reconfigured label persistence settings, remediation measures with removed 'addpatchset' permissions from registered users, and remediation measures with immediate patching, remediation measures with discontinue use if patches unavailable, and containment measures with inbound html linting, containment measures with llm firewall configurations, containment measures with post-processing filters, and remediation measures with html sanitization at ingestion, remediation measures with improved context attribution, remediation measures with enhanced explainability features, and containment measures with apply vendor-provided mitigations, containment measures with discontinue use of affected products if patches are unavailable, and remediation measures with apply patches, remediation measures with update to the latest browser versions, and remediation measures with patched in commit ac9fe7dd8e730a103ae4481147395cc73492d786, and third party assistance with security researchers (e.g., cve-2019-5786 disclosure), third party assistance with compiler/toolchain developers (e.g., asan, clang), and containment measures with patching vulnerable code (e.g., chrome updates), containment measures with disabling affected features (e.g., filereader api workarounds), containment measures with isolating vulnerable components (e.g., sandboxing), and remediation measures with code refactoring to eliminate uaf conditions, remediation measures with adoption of memory-safe languages (e.g., rust for new components), remediation measures with integration of static/dynamic analysis tools (asan, valgrind), remediation measures with pointer nullification post-free, remediation measures with reference counting for shared objects, and recovery measures with rollback to stable versions (if exploited in production), recovery measures with memory state validation for critical objects, and communication strategy with security advisories (e.g., chrome releases blog), communication strategy with cve publications (e.g., cve-2019-5786), communication strategy with developer guidance on secure coding practices, and enhanced monitoring with runtime uaf detection (e.g., asan in debug builds), enhanced monitoring with heap integrity checks in production, and containment measures with public awareness campaigns (e.g., google's security advisories), containment measures with email filtering updates, and remediation measures with user education on phishing tactics, remediation measures with reporting mechanisms for suspicious emails, and communication strategy with warnings via official channels, communication strategy with collaboration with whatsapp to block fraudulent accounts, and enhanced monitoring with monitoring for brand abuse, enhanced monitoring with dark web scanning for stolen data, and and third party assistance with academic researchers (uc berkeley, uw, cmu, ucsd), and containment measures with partial patch in september 2024 android security bulletin, containment measures with planned december 2024 patch, containment measures with limiting blur api calls (bypassed by attackers), and communication strategy with public disclosure via acm ccs 2024 paper, communication strategy with media statements to the register, communication strategy with google play detection mechanisms, and and containment measures with blocked gemini from rendering dangerous links, containment measures with strengthened defenses against prompt injections, and remediation measures with patching vulnerabilities in gemini cloud assist, search personalization model, and browsing tool, and communication strategy with public disclosure via security researchers; user advisories on safe ai usage, and remediation measures with public warnings (e.g., musk’s hacker alerts), remediation measures with user advisories for password changes/2fa, and communication strategy with limited transparency, communication strategy with public posts by musk and cybersecurity accounts..
Title: SEO Campaign Hack
Description: A significant search engine optimization (SEO) campaign hacked over 15,000 websites. The threat actors set up the attack to divert website visitors to phoney Q&A discussion boards. The attacks were mostly discovered by Sucuri, and according to analysis, each compromised site that is utilized as a part of the plan comprises about 20,000 files used in the campaign to spam search engines, with WordPress making up the majority of the sites. The threat actors probably tried to conduct ad fraud.
Type: SEO Campaign Hack
Attack Vector: Compromised Websites
Motivation: Ad Fraud
Title: Google Chrome Zero-Day Vulnerability
Description: Cybersecurity and Infrastructure Security Agency (CISA) added the Google Chrome zero-day to its catalog of exploited vulnerabilities. The bug exists in a third-party library that other projects similarly depend on, but haven’t yet fixed. An attacker could exploit the vulnerability and compromise a victim when they simply visit a website that hosts malicious HTML code.
Type: Zero-Day Exploit
Attack Vector: Malicious Website
Vulnerability Exploited: Third-party library bug in Google Chrome
Title: Malicious Chrome Extensions Removed from Web Store
Description: Google has deleted 32 malicious extensions from the Chrome Web Store that could have changed search results and pushed spam or unwanted adverts. The extensions had legal functionality but contained dangerous behavior concealed in the payloads' obfuscated code.
Type: Malicious Software
Attack Vector: Malicious Extensions
Vulnerability Exploited: Obfuscated Code in Extensions
Motivation: SpamUnwanted Adverts
Title: Google Data Breach via Third-Party Vendor
Description: Google commenced notifying its staff members of a breach of data that happened at a third-party company that provides benefits.
Type: Data Breach
Attack Vector: Email Gaffe
Title: Google APP Users Face Targeted Digital Attack Risks
Description: Google's Advanced Protection Program (APP) users faced targeted digital attack risks but now have access to passkeys, a cryptographic authentication system offering a higher security level than passwords. Passkeys, which can be stored locally and protected with biometrics or a pin, are less susceptible to phishing and do not require carrying an additional physical token. This shift enhances security for public figures and those involved in controversial work who are at high risk. Despite being a significant step forward in cybersecurity, there's no indication that user data has been compromised as a result of previous vulnerabilities.
Type: Targeted Digital Attack Risks
Attack Vector: Phishing
Vulnerability Exploited: Password-based authentication
Motivation: Targeting high-risk users including public figures and controversial work
Title: Google Rolls Out Passkeys for Advanced Protection Program Users
Description: Google has rolled out passkeys to users of its Advanced Protection Program (APP), enhancing account security for individuals at risk of targeted digital attacks. Passkeys, a cryptographic authentication replacement for passwords, offer a higher security level by being stored locally and protected by biometric or PIN verification. Google's initiative addresses the explosive growth of digital crime, simplifying and strengthening user protection against phishing and fraud, especially for users in the public eye or engaging in controversial work. While previously dependent on hardware tokens for two-factor authentication, APP now provides the convenience of passkeys without compromising on security, thus sustaining user trust by mitigating potential risks associated with compromised account credentials.
Type: Security Enhancement
Motivation: Enhance account security
Title: Google Play Infiltrated by Mandrake Android Spyware
Description: Google Play was infiltrated by Mandrake Android spyware, resulting in over 32,000 downloads of compromised apps since 2022. This sophisticated malware allowed attackers complete control over infected devices, securing sensitive data exfiltration, and used a 'seppuku' feature for self-removal after its malicious deeds, thus leaving no traces. Despite the apps remaining undetected on the official platform for a significant period, most affected users are from countries like Canada, Germany, Italy, Mexico, Spain, Peru, and the UK, with one app alone achieving over 30,000 downloads. The discovery underscores the evolving tactics of attackers and the challenges faced by marketplaces in preventing sophisticated threats.
Type: Malware
Attack Vector: Compromised Apps
Vulnerability Exploited: Download of malicious apps
Motivation: Data Exfiltration
Title: Mandrake Android Spyware
Description: Over 32,000 users have been impacted by the Mandrake Android spyware, which was embedded in five apps on the Google Play Store. This malicious software enabled attackers to gain full control of infected devices and exfiltrate personal data. The spyware employed sophisticated evasion and obfuscation techniques, including the hiding of its malicious payload in native libraries and implementing a kill-switch to remove all traces of its presence. Despite the advanced nature of the attack, the apps remained undetected on the official marketplace for an extended period, evidencing the significant threat and potential impact on users' privacy and security.
Type: Spyware
Attack Vector: Malicious Apps
Motivation: Data Exfiltration
Title: SpyLoan Android Apps Incident
Description: McAfee researchers discovered 15 SpyLoan Android apps on Google Play that had been downloaded over 8 million times. These apps targeted users mostly in South America, Southeast Asia, and Africa by masquerading as legitimate financial aid applications. They implemented social engineering techniques to extort sensitive user data and permissions that could lead to harassment and financial loss. The malicious activities promoted through deceptive ads led users to install apps that exploit personal data. Once installed, the apps asked for inappropriate permissions, resulting in various privacy infringements. Victims were subjected to intimidation and threats, with one operation linked to a call center in Peru harassing over 7,000 individuals across multiple countries.
Type: Malware
Attack Vector: Malicious Apps
Motivation: Financial Gain
Title: SpyLoan Android Apps Incident
Description: McAfee researchers uncovered 15 SpyLoan Android apps available on Google Play, cumulatively achieving over 8 million installs, mainly targeting users across South America, Southeast Asia, and Africa. These apps engaged in social engineering tactics to siphon off sensitive user data and gain excessive permissions, leading to incidents of extortion, harassment, and considerable financial loss for the users. As a result of these malicious activities, some applications were taken down by Google for breaching Google Play policies, while others underwent updates by their developers to comply with regulations. Victims of these SpyLoan apps experienced various threats, including misuse of personal data and aggressive harassment strategies such as spamming contacts and leveraging personal photos or IDs for intimidation.
Type: Data Breach, Extortion, Harassment
Attack Vector: Malicious Mobile Apps
Vulnerability Exploited: Social Engineering, Excessive Permissions
Motivation: Financial Gain, Data Theft, Harassment
Title: SpyLend Malware Incident
Description: The SpyLend malware, distributed through Google Play as the app 'Finance Simplified', targeted Indian users and facilitated financial crimes. Infected over 100,000 devices, the malware offered fake loan applications that captured extensive personal data, including contacts, call logs, and photos. This accessed sensitive information was then utilized for blackmail and extortion, with some cases involving manipulated victims' photos. Despite negative reviews on Google Play, the app's rapid download growth within a week and the misuse of personal data for predatory practices highlight a significant lapse in app store security and user safety.
Type: Malware
Attack Vector: Mobile Application
Vulnerability Exploited: User Trust in App Store
Motivation: Financial Gain, Blackmail, Extortion
Title: Leaked Images of Google Pixel 9a
Description: Images of the upcoming Google Pixel 9a have allegedly leaked, showing the colors and design of the device, including AI features and other hardware details. The leaks, including those from tipster Evan Blass, hint at the absence of the signature Pixel camera visor, among other features. These leaks may impact the anticipation and marketing strategies for the release of the Pixel 9a. As the leaks continue, they potentially affect customer expectations and company reputation, even though the actual device specifics are yet to be confirmed.
Type: Data Leak
Attack Vector: Unauthorized Disclosure
Threat Actor: Evan Blass
Motivation: Unauthorized Disclosure
Title: Critical Security Flaw in Chrome (CVE-2025-2476)
Description: A critical memory vulnerability in the Chrome Lens component allows execution of arbitrary code via crafted web pages. This use-after-free issue poses a threat to user data and system control, prompting an urgent update. Pre-update versions of Chrome on Windows, Mac, Linux, and Android are susceptible to heap corruption and potential system compromise. Users with privileges are at risk of unauthorized program installation, data access, and system control.
Date Resolved: March 2025
Type: Vulnerability Exploitation
Attack Vector: Crafted web pages
Vulnerability Exploited: CVE-2025-2476
Motivation: Unauthorized program installation, data access, and system control
Title: Operation ForumTroll: Exploitation of CVE-2025-2783 in Google Chrome
Description: Google Chrome encountered a critical zero-day vulnerability identified as CVE-2025-2783, being exploited through a campaign named Operation ForumTroll. Targeting various institutions, the flaw allowed attackers to escape Chrome’s sandbox, potentially enabling them to execute arbitrary code on victims' systems, with minimal interaction. Despite a prompt patch release in Chrome version 134.0.6998.177/.178, the situation posed espionage risks, likely attributed to an APT group's involvement. Organizations were urged to upgrade their browsers and enhance security protocols to prevent exploitation.
Type: Zero-Day Vulnerability
Attack Vector: Sandbox Escape
Vulnerability Exploited: CVE-2025-2783
Threat Actor: APT Group
Motivation: Espionage
Title: ImageRunner Vulnerability in Google Cloud Platform
Description: A significant security vulnerability, known as 'ImageRunner', was identified in Google Cloud Platform affecting Google Artifact Registry and Google Container Registry. The issue allowed escalated privileges to access private container images, risking data leaks and unauthorized access. Although fixed, the vulnerability could enable attackers to exploit permissions via Cloud Run to extract sensitive information or infiltrate cloud resources. The exploit required specific Cloud Run edit permissions and could be utilized to create a malicious revision to exfiltrate data or compromise the service. Google addressed this by requiring explicit permissions for accessing container images during Cloud Run deployments.
Type: Vulnerability Exploit
Attack Vector: Cloud Run Edit Permissions
Vulnerability Exploited: ImageRunner
Motivation: Data LeaksUnauthorized Access
Title: Android Zero-Day Vulnerability (CVE-2025-27363) Exploited in the Wild
Description: Google addressed 47 distinct flaws in the Android platform, including one zero-day vulnerability (CVE-2025-27363) actively exploited in the wild. The critical issue resides in the FreeType font library, which millions of devices use to render text. A specially crafted TrueType GX or variable font file can trigger an out-of-bounds write, allowing an attacker to run arbitrary code at the system level without any user interaction. Facebook first flagged the exploit in March, warning that threat actors may already have weaponized it. The vulnerability affects all Android versions embedding vulnerable FreeType releases prior to 2.13.0, and until devices receive the May update, they remain exposed. Google has notified OEM partners at least one month before public disclosure, but patch availability will vary by brand and model. Users are strongly advised to install the May 5, 2025 (or later) security update as soon as it appears on their device and to run active anti-malware protection to guard against potential attacks leveraging this flaw.
Date Detected: March 2025
Date Publicly Disclosed: May 5, 2025
Type: Zero-Day Vulnerability
Attack Vector: Specially crafted TrueType GX or variable font file
Vulnerability Exploited: CVE-2025-27363
Title: Google Chrome Emergency Update for CVE-2025-4664
Description: Google released an emergency update for the Chrome browser to patch an actively exploited vulnerability that could allow attackers to steal sensitive information. The vulnerability, tracked as CVE-2025-4664, affects the Chrome Loader component, which manages resource requests. The flaw allows attackers to set a referrer-policy in the Link header, causing Chrome to include full URLs with sensitive query parameters. This could lead to the theft of OAuth tokens, session identifiers, and other private data.
Type: Vulnerability Exploit
Attack Vector: Referrer-policy manipulation
Vulnerability Exploited: CVE-2025-4664
Motivation: Data Theft
Title: Critical Vulnerability in Arm’s Mali GPU Driver
Description: A critical vulnerability (CVE-2025-0072) in Arm’s Mali GPU driver allows malicious Android applications to bypass Memory Tagging Extension (MTE) protections and achieve arbitrary kernel code execution.
Date Detected: 2024-12-12
Date Publicly Disclosed: 2025-05-02
Date Resolved: 2025-05-02
Type: Vulnerability
Attack Vector: Exploiting communication mechanism between Mali GPUs and userland applications through command queues
Vulnerability Exploited: CVE-2025-0072
Title: Critical Zero-Day Vulnerability in Google Chrome’s V8 JavaScript Engine
Description: CISA issued an urgent warning about a critical zero-day vulnerability in Google Chrome’s V8 JavaScript engine that is being actively exploited by cybercriminals to execute arbitrary code on victims’ systems.
Date Detected: 2025-05-27
Date Publicly Disclosed: 2025-06-05
Date Resolved: 2025-06-03
Type: Zero-Day Vulnerability
Attack Vector: Out-of-bounds read and write in V8 JavaScript and WebAssembly engine
Vulnerability Exploited: CVE-2025-5419
Motivation: Arbitrary code execution, browser sandbox escapes
Title: GerriScary Vulnerability in Google’s Gerrit Platform
Description: A critical supply chain vulnerability dubbed 'GerriScary' (CVE-2025-1568) that could have allowed attackers to inject malicious code into at least 18 major Google projects, including ChromiumOS, Chromium, Dart, and Bazel.
Type: Vulnerability Exploitation
Attack Vector: Misconfigurations in Gerrit code collaboration platform
Vulnerability Exploited: CVE-2025-1568
Motivation: Unauthorized code submission
Title: Critical Zero-Day Vulnerability in Google Chrome's V8 Engine
Description: CISA has issued an urgent warning about a critical zero-day vulnerability in Google Chrome that attackers are actively exploiting in the wild. The vulnerability, designated CVE-2025-6554, affects the Chromium V8 JavaScript engine and has been added to CISA’s Known Exploited Vulnerabilities (KEV) catalog.
Type: Zero-Day Exploit
Attack Vector: Malicious HTML pages
Vulnerability Exploited: CVE-2025-6554
Motivation: System compromise
Title: Google Gemini for Workspace Vulnerability
Description: A significant vulnerability in Google Gemini for Workspace enables threat actors to embed hidden malicious instructions within emails, leading to credential theft and social engineering attacks.
Type: Vulnerability Exploit
Attack Vector: Prompt-injection technique through crafted HTML and CSS code
Vulnerability Exploited: Indirect prompt injection (IPI)
Motivation: Credential theft, social engineering
Title: Critical Vulnerability in Google Chromium (CVE-2025-6558)
Description: CISA has issued an urgent warning about a critical vulnerability in Google Chromium that threat actors are actively exploiting. The vulnerability, designated as CVE-2025-6558, poses a significant security risk to millions of users across multiple web browsers that utilize the Chromium engine.
Date Publicly Disclosed: 2025-07-22
Type: Vulnerability Exploitation
Attack Vector: Malicious HTML pagesImproper Input Validation
Vulnerability Exploited: CVE-2025-6558
Motivation: Install malwareSteal sensitive dataEstablish persistent access
Title: Data Breach at Google Inc.
Description: A third-party vendor mistakenly sent a document containing names and Social Security numbers of some Googlers to an unauthorized recipient.
Date Detected: 2016-03-29
Date Publicly Disclosed: 2016-05-06
Type: Data Breach
Attack Vector: Third-party vendor error
Vulnerability Exploited: Human error
Threat Actor: Unauthorized recipient
Title: Linux Kernel Root Exploit via CVE-2025-38001
Description: Researchers exploited CVE-2025-38001—a previously unknown Use-After-Free (UAF) vulnerability in the Linux HFSC queuing discipline—to compromise all Google kernelCTF instances (LTS, COS, and mitigation) as well as fully patched Debian 12 systems. Their work netted an estimated $82,000 in cumulative bounties and underscores the continuing importance of in-depth code auditing beyond automated fuzzing.
Type: Vulnerability Exploit
Attack Vector: Use-After-Free (UAF) vulnerability in the Linux HFSC queuing discipline
Vulnerability Exploited: CVE-2025-38001
Threat Actor: D3vilFizzBuzz101
Motivation: Security Research and Bounty
Title: Use-After-Free (UAF) Vulnerabilities in Memory-Unsafe Languages (C/C++)
Description: Use-after-free (UAF) vulnerabilities occur when a program continues to use a memory location after it has been freed, enabling attackers to manipulate program execution, corrupt data, or achieve arbitrary code execution. These vulnerabilities are prevalent in applications written in memory-unsafe languages like C and C++. They arise from flawed memory management practices, such as failing to nullify pointers after freeing memory or improper handling of object lifetimes. Exploitation often involves heap spraying, memory layout control, and advanced techniques like Return-Oriented Programming (ROP) to bypass mitigations like DEP and ASLR. High-profile cases include CVE-2019-5786 in Google Chrome, which allowed arbitrary code execution in the browser’s renderer process via JavaScript manipulation of FileReader objects. Mitigation requires a multi-layered approach, including static/dynamic analysis, memory-safe languages (e.g., Rust), runtime protections (e.g., ASan, CFI), and secure coding practices like pointer nullification and reference counting.
Type: Memory Corruption Vulnerability
Attack Vector: Memory Allocator ManipulationHeap SprayingDangling Pointer DereferenceFunction Pointer OverwriteVirtual Function Table CorruptionRace Conditions in Multithreaded CodeCallback-Based Object Lifetime ExploitationJavaScript Engine Manipulation (e.g., Chrome FileReader)Pointer Authentication Bypass
Vulnerability Exploited: Use-After-Free (UAF)Improper Pointer NullificationRace Conditions in Object DestructionType Confusion via Memory ReuseHeap Metadata CorruptionCVE-2019-5786 (Google Chrome FileReader)
Motivation: Arbitrary Code ExecutionPrivilege EscalationData CorruptionBypassing Security Mitigations (DEP, ASLR, CFI)Exploit Development for Malware DistributionTargeted Attacks on Browsers/OS/Critical Infrastructure
Title: Pixnapping: Data-Stealing Attack on Android Devices via GPU Side Channel (CVE-2025-48561)
Description: Security researchers resurrected a 12-year-old data-stealing attack (dubbed 'Pixnapping') targeting Android devices. The attack exploits a hardware side channel (GPU.zip) to allow malicious apps to screenshot or leak sensitive information displayed in other apps (e.g., Google Maps, Signal, Venmo, Gmail) or websites, including 2FA codes from Google Authenticator. The vulnerability (CVE-2025-48561) affects Android versions 13–16 (up to build BP3A.250905.014) on devices like Google Pixel 6–9 and Samsung Galaxy S25. Google issued partial mitigations in September 2024 and plans further patches in December 2024, but no in-the-wild exploitation has been detected. The attack leverages Android Intents, Custom Tabs API, and VSync callbacks to measure rendering times and infer pixel values at a rate of 0.6–2.1 pixels/second.
Date Publicly Disclosed: 2024-10-21
Type: Data Theft
Attack Vector: Malicious Android AppGPU Side Channel (GPU.zip)Android IntentsCustom Tabs APIWindow Blur APIVSync Callbacks
Vulnerability Exploited: CVE-2025-48561Android Activity LayeringMali GPU Data CompressionTiming Attack via Rendering Pipeline
Motivation: Research/Proof-of-ConceptPotential for Financial Gain (e.g., stealing 2FA codes, payment info)
Title: Gemini AI 'Trifecta' Vulnerabilities Discovered and Patched
Description: Security researchers discovered three vulnerabilities in Google’s Gemini AI assistant, dubbed the 'Trifecta.' The flaws were found in three components: **Gemini Cloud Assist** (tricked by hidden prompts in web requests, risking control over cloud resources), **Gemini Search Personalization Model** (injected harmful prompts via malicious websites, leaking personal data), and **Gemini Browsing Tool** (tricked into sending user data to malicious servers via web page summarization). Google patched these by blocking dangerous links and strengthening defenses against prompt injections. While the risk to users is now low, the incident highlights evolving AI security concerns as AI integrates deeper into daily services.
Type: Vulnerability Exploitation
Attack Vector: Hidden Prompts in Web RequestsMalicious Website InteractionAI Command Injection
Vulnerability Exploited: Gemini Cloud Assist (Log Summarization Flaw)Gemini Search Personalization Model (Prompt Injection via Browsing History)Gemini Browsing Tool (Web Page Summarization Data Exfiltration)
Title: The Shadow Breach: X’s 2025 Data Catastrophe and the Erosion of Digital Trust
Description: In 2025, X (formerly Twitter) experienced a massive data exposure due to an accidental configuration error in its backend systems, leaking sensitive user information via public APIs. The breach, compounded by insider threats and legacy infrastructure vulnerabilities, affected potentially billions of users, exposing records including emails, bios, follower counts, user IDs, locations, and interaction histories. The incident led to financial losses, regulatory scrutiny, and a severe erosion of user trust.
Date Detected: 2025-03
Date Publicly Disclosed: 2025-03
Type: Data Breach
Attack Vector: Accidental Configuration ErrorPublic API ExposureInsider Data Exfiltration
Vulnerability Exploited: Legacy Infrastructure WeaknessesInadequate Data Anonymization in AI Features (e.g., Grok AI)Lack of Access Controls During Layoffs
Threat Actor: Opportunistic Data ScrapersDisgruntled Former Employee(s)
Motivation: Financial Gain (Black Market Data Sales)Retaliation (Insider Threat)
Common Attack Types: The most common types of attacks the company has faced is Vulnerability.
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Malicious Website, Malicious Extensions, Compromised Apps, Malicious Apps, Google Play Store, Google Play Store, Google Play Store, Sandbox Escape, Malicious HTML pages, Email, Malicious HTML pages, Memory Corruption via Crafted Input (e.g., Malicious File, Network Packet)Race Conditions in Object Destruction (e.g., Chrome FileReader)Heap Manipulation via Allocator Predictability, Phishing Email (Spoofed Google Branding), Malicious Android App (no special permissions required), Malicious Websites (Prompt Injection)Web Requests with Hidden Commands and Public APIs and misconfigured backend tools.

Systems Affected: Over 15,000 websites

Systems Affected: Google Chrome

Data Compromised: Confidential, sensitive data about Google personnel

Brand Reputation Impact: Positive

Identity Theft Risk: True

Data Compromised: Sensitive user data, Personal photos, Ids

Data Compromised: Contacts, Call logs, Photos

Data Compromised: Design details, Ai features, Hardware details
Operational Impact: Potential impact on anticipation and marketing strategies
Brand Reputation Impact: Potential impact on customer expectations and company reputation

Systems Affected: WindowsMacLinuxAndroid

Systems Affected: Google Chrome

Systems Affected: Google Artifact RegistryGoogle Container Registry

Systems Affected: Millions of Android devices

Data Compromised: Oauth tokens, Session identifiers, Private data
Systems Affected: Chrome Browser

Systems Affected: Google’s Pixel 7, 8, and 9 series smartphones

Systems Affected: Google ChromeMicrosoft EdgeOperaBraveVivaldi

Systems Affected: ChromiumOSChromiumDartBazelDawnBoringSSLCeres SolverQuicheAndroid KVMvarious Linux-related projects

Systems Affected: Google ChromeMicrosoft EdgeOperaOther Chromium-based browsers

Systems Affected: GmailDocsSlidesDrive

Systems Affected: Google ChromeMicrosoft EdgeOperaAll Chromium-based browsers

Data Compromised: Names, Social security numbers

Financial Loss: Estimated $82,000 in cumulative bounties
Systems Affected: Google kernelCTF instancesDebian 12 systems

Data Compromised: Potential memory leakage (sensitive data in freed blocks), Corruption of application state
Systems Affected: Web Browsers (e.g., Google Chrome)Operating Systems (Kernel/Userspace Components)Critical Infrastructure SoftwareApplications Written in C/C++JavaScript Engines (e.g., V8)DOM Manipulation Libraries
Downtime: ['Application Crashes (e.g., ASan-Triggered Termination)', 'Denial-of-Service via Memory Corruption']
Operational Impact: Unpredictable Program BehaviorExploitation for Further Attacks (e.g., ROP Chains)Bypass of Security Sandboxes (e.g., Browser Renderer Process)
Brand Reputation Impact: Erosion of Trust in Affected Software (e.g., Browsers, OS)Negative Publicity for Vulnerable Products
Identity Theft Risk: ['If Exploited to Leak PII from Memory']
Payment Information Risk: ['If Exploited to Leak Payment Data from Memory (e.g., Browser Sessions)']

Data Compromised: 2fa codes (google authenticator), Sensitive app data (google maps, signal, venmo), Email content (gmail), Installed apps list
Systems Affected: Android Devices (Pixel 6–9, Samsung Galaxy S25)Apps: Google Authenticator, Google Maps, Signal, VenmoWebsites: Gmail (mail.google.com)
Brand Reputation Impact: Potential erosion of trust in Android securityMedia coverage of unpatched vulnerability
Identity Theft Risk: ['High (via stolen 2FA codes, PII from apps/emails)']
Payment Information Risk: ['High (Venmo, Gmail may expose payment details)']

Data Compromised: Personal data (saved information, location), Cloud resource access
Systems Affected: Google Gemini AI (Cloud Assist, Search Personalization, Browsing Tool)Chrome Browsing History Integration
Operational Impact: Potential unauthorized control over cloud resources and data leakage
Brand Reputation Impact: Raised concerns about AI security and trust in Google's AI tools
Identity Theft Risk: High (if personal data was leaked before patching)

Financial Loss: $285,000 per hour during outages (November 2025); potential billions in GDPR fines
Data Compromised: User ids, Locations, Interaction histories, Emails, Bios, Follower counts, Metadata
Systems Affected: Public APIsBackend Developer ToolsAI-Driven Features (e.g., Grok AI)
Downtime: Intermittent outages reported (e.g., March 2025 DDoS-like incident)
Operational Impact: Advertiser pullback, regulatory investigations, loss of user trust
Revenue Loss: Significant (exact figures undisclosed, but outages alone cost $285K/hour)
Customer Complaints: Widespread user backlash, migration to competitor platforms
Brand Reputation Impact: Severe erosion of trust, criticism over transparency and security practices
Legal Liabilities: Potential GDPR fines (billions)Class-action lawsuitsFTC consent decrees
Identity Theft Risk: High (exposed PII sold on black market)
Average Financial Loss: The average financial loss per incident is $9.50 trillion.
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Confidential, sensitive data about Google personnel, Sensitive Data, Personal Data, Personal Data, Sensitive User Data, , Sensitive User Data, Personal Photos, Ids, , Contacts, Call Logs, Photos, , Design Details, Ai Features, Hardware Details, , Oauth Tokens, Session Identifiers, Private Data, , Names, Social Security Numbers, , Potential Memory Contents (Depends On Exploitation), Sensitive Data In Freed Blocks (E.G., Credentials, Tokens), , 2Fa Codes, Pii (From Apps/Emails), App Usage Data, Installed Apps List, , Personal Data (Saved Information, Location), Cloud Resource Access Credentials (Potential), , Personally Identifiable Information (Pii), Metadata, User Interaction Histories, Emails, Bios, Follower Counts, Locations and .

Entity Name: Google
Entity Type: Corporation
Industry: Technology

Entity Name: Google
Entity Type: Organization
Industry: Technology

Entity Name: Google Inc.
Entity Type: Corporation
Industry: Technology

Entity Name: Google APP Users
Entity Type: Public Figures and Controversial Workers
Industry: Technology
Location: Global

Entity Name: Google
Entity Type: Company
Industry: Technology
Location: Global
Size: Large

Entity Name: Google Play
Entity Type: Marketplace
Industry: Technology
Customers Affected: Over 32,000

Entity Name: Google Play Store
Entity Type: App Marketplace
Industry: Technology
Location: Global
Customers Affected: 32,000

Entity Name: Google Play
Entity Type: App Store
Industry: Technology
Location: Global
Customers Affected: 8 million

Entity Name: Google Play Users
Entity Type: Consumers
Location: South AmericaSoutheast AsiaAfrica
Customers Affected: Over 8 million

Entity Name: Google Play
Entity Type: App Store
Industry: Technology
Location: Global
Customers Affected: Over 100,000 devices

Entity Name: Google
Entity Type: Company
Industry: Technology
Location: Global
Customers Affected: Billions

Entity Name: Google
Entity Type: Technology Company
Industry: Software
Location: Global

Entity Name: Google
Entity Type: Tech Company
Industry: Technology
Location: Global
Size: Large Enterprise

Entity Name: Google
Entity Type: Organization
Industry: Technology
Location: Global
Size: Large

Entity Name: Google
Entity Type: Corporation
Industry: Technology

Entity Name: Google Chrome
Entity Type: Web Browser
Industry: Technology
Location: Global

Entity Name: Google
Entity Type: Technology Company
Industry: Technology
Size: Large

Entity Name: Google
Entity Type: Technology Company
Industry: Technology
Location: Global
Size: Large

Entity Name: Microsoft
Entity Type: Technology Company
Industry: Technology
Location: Global
Size: Large

Entity Name: Opera
Entity Type: Technology Company
Industry: Technology
Location: Global
Size: Large

Entity Name: Google
Entity Type: Technology Company
Industry: Technology
Location: Global

Entity Name: ['Google', 'Microsoft', 'Opera']
Entity Type: Software Company
Industry: Technology

Entity Name: Google Inc.
Entity Type: Company
Industry: Technology
Location: California

Entity Name: Google
Entity Type: Technology Company
Industry: Technology

Entity Name: Google Chrome (CVE-2019-5786)
Entity Type: Web Browser
Industry: Technology
Location: Global
Size: Large-Scale (Millions of Users)
Customers Affected: Millions (All Chrome Users Pre-Patch)

Entity Name: Applications Using C/C++ with Manual Memory Management
Entity Type: Software
Industry: Multiple (Tech, Critical Infrastructure, Embedded Systems)
Location: Global

Entity Name: Google (Android)
Entity Type: Technology Company
Industry: Software/Internet
Location: Global
Size: Large
Customers Affected: Users of Android 13–16 (Pixel 6–9, Samsung Galaxy S25)

Entity Name: Samsung
Entity Type: Technology Company
Industry: Consumer Electronics
Location: Global
Size: Large
Customers Affected: Users of Samsung Galaxy S25 (Android 16)

Entity Name: End Users
Entity Type: Individuals
Location: Global

Entity Name: Google (Gemini AI Services)
Entity Type: Technology Company
Industry: AI/Cloud Services
Location: Global
Size: Large
Customers Affected: Users of Google services relying on Gemini AI (potential exposure if interacted with malicious sites or Gemini cloud features pre-patch)

Entity Name: X (formerly Twitter)
Entity Type: Social Media Platform
Industry: Technology/Social Media
Location: Global (HQ: San Francisco, USA)
Size: Billions of users
Customers Affected: Potentially billions (200 million records confirmed in April 2025; 2.8 billion records alleged in 400GB leak)

Third Party Assistance: Sucuri

Remediation Measures: Removal of Malicious Extensions

Communication Strategy: Informing concerned parties

Remediation Measures: Introduction of passkeys

Communication Strategy: Public announcement of passkey rollout

Containment Measures: Apps Taken DownUpdates by Developers

Remediation Measures: Urgent update to Chrome
Communication Strategy: Public advisory to update Chrome

Containment Measures: Patch release in Chrome version 134.0.6998.177/.178
Remediation Measures: Upgrade browsersEnhance security protocols

Remediation Measures: Requiring explicit permissions for accessing container images during Cloud Run deployments

Remediation Measures: Install May 5, 2025 (or later) security updateRun active anti-malware protection

Remediation Measures: Emergency update to Chrome browser versions 136.0.7103.113/.114 for Windows and Mac, and 136.0.7103.113 for Linux
Communication Strategy: Advisory to update Chrome browser immediately

Remediation Measures: Arm addressed the vulnerability in Mali driver version r54p0

Containment Measures: Initial mitigation through a configuration change
Remediation Measures: Emergency security updates

Remediation Measures: Reconfigured label persistence settingsRemoved 'addPatchSet' permissions from registered users

Remediation Measures: Immediate patchingDiscontinue use if patches unavailable

Containment Measures: Inbound HTML lintingLLM firewall configurationsPost-processing filters
Remediation Measures: HTML sanitization at ingestionImproved context attributionEnhanced explainability features

Containment Measures: Apply vendor-provided mitigationsDiscontinue use of affected products if patches are unavailable
Remediation Measures: Apply patchesUpdate to the latest browser versions

Remediation Measures: Patched in commit ac9fe7dd8e730a103ae4481147395cc73492d786

Third Party Assistance: Security Researchers (E.G., Cve-2019-5786 Disclosure), Compiler/Toolchain Developers (E.G., Asan, Clang).
Containment Measures: Patching Vulnerable Code (e.g., Chrome Updates)Disabling Affected Features (e.g., FileReader API Workarounds)Isolating Vulnerable Components (e.g., Sandboxing)
Remediation Measures: Code Refactoring to Eliminate UAF ConditionsAdoption of Memory-Safe Languages (e.g., Rust for New Components)Integration of Static/Dynamic Analysis Tools (ASan, Valgrind)Pointer Nullification Post-FreeReference Counting for Shared Objects
Recovery Measures: Rollback to Stable Versions (if Exploited in Production)Memory State Validation for Critical Objects
Communication Strategy: Security Advisories (e.g., Chrome Releases Blog)CVE Publications (e.g., CVE-2019-5786)Developer Guidance on Secure Coding Practices
Enhanced Monitoring: Runtime UAF Detection (e.g., ASan in Debug Builds)Heap Integrity Checks in Production

Incident Response Plan Activated: True
Third Party Assistance: Academic Researchers (Uc Berkeley, Uw, Cmu, Ucsd).
Containment Measures: Partial patch in September 2024 Android security bulletinPlanned December 2024 patchLimiting blur API calls (bypassed by attackers)
Communication Strategy: Public disclosure via ACM CCS 2024 paperMedia statements to The RegisterGoogle Play detection mechanisms

Incident Response Plan Activated: True
Containment Measures: Blocked Gemini from rendering dangerous linksStrengthened defenses against prompt injections
Remediation Measures: Patching vulnerabilities in Gemini Cloud Assist, Search Personalization Model, and Browsing Tool
Communication Strategy: Public disclosure via security researchers; user advisories on safe AI usage

Remediation Measures: Public warnings (e.g., Musk’s hacker alerts)User advisories for password changes/2FA
Communication Strategy: Limited transparencyPublic posts by Musk and cybersecurity accounts
Third-Party Assistance: The company involves third-party assistance in incident response through Sucuri, Security Researchers (e.g., CVE-2019-5786 Disclosure), Compiler/Toolchain Developers (e.g., ASan, Clang), , Academic Researchers (UC Berkeley, UW, CMU, UCSD), .

File Types Exposed: Spam files for SEO

Type of Data Compromised: Confidential, sensitive data about Google personnel
Sensitivity of Data: High

Type of Data Compromised: Sensitive Data
Sensitivity of Data: High
Data Exfiltration: Yes

Type of Data Compromised: Personal Data
Number of Records Exposed: 32,000

Type of Data Compromised: Personal data, Sensitive user data
Sensitivity of Data: High

Type of Data Compromised: Sensitive user data, Personal photos, Ids
Sensitivity of Data: High

Type of Data Compromised: Contacts, Call logs, Photos
Number of Records Exposed: Over 100,000
Sensitivity of Data: High
File Types Exposed: contactscall logsphotos

Type of Data Compromised: Design details, Ai features, Hardware details
Sensitivity of Data: Moderate

Type of Data Compromised: Oauth tokens, Session identifiers, Private data

Type of Data Compromised: Names, Social security numbers
Sensitivity of Data: High

Type of Data Compromised: Potential memory contents (depends on exploitation), Sensitive data in freed blocks (e.g., credentials, tokens)
Sensitivity of Data: High (If Exploited to Leak Secrets from Memory)Variable (Depends on Target Application)
Data Exfiltration: Possible via Crafted Exploits (e.g., Reading Freed Memory)
Personally Identifiable Information: Potential (If PII Resided in Freed Memory)

Type of Data Compromised: 2fa codes, Pii (from apps/emails), App usage data, Installed apps list
Sensitivity of Data: High
File Types Exposed: Text (2FA codes, emails)Graphics (app UI elements)

Type of Data Compromised: Personal data (saved information, location), Cloud resource access credentials (potential)
Sensitivity of Data: High (personal and location data)
Data Exfiltration: Possible (via malicious servers in Browsing Tool flaw)

Type of Data Compromised: Personally identifiable information (pii), Metadata, User interaction histories, Emails, Bios, Follower counts, Locations
Number of Records Exposed: 200 million (confirmed); up to 2.8 billion (alleged)
Sensitivity of Data: High (includes PII, location data, and private interactions)
Data Exfiltration: Yes (harvested by scrapers and insider(s))
Data Encryption: No (data was exposed in plaintext via APIs)
File Types Exposed: API logsUser databasesMetadata
Personally Identifiable Information: Yes (emails, user IDs, locations, bios)
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Removal of Malicious Extensions, , Introduction of passkeys, Urgent update to Chrome, Upgrade browsers, Enhance security protocols, , Requiring explicit permissions for accessing container images during Cloud Run deployments, Install May 5, 2025 (or later) security update, Run active anti-malware protection, , Emergency update to Chrome browser versions 136.0.7103.113/.114 for Windows and Mac, and 136.0.7103.113 for Linux, , Arm addressed the vulnerability in Mali driver version r54p0, , Emergency security updates, Reconfigured label persistence settings, Removed 'addPatchSet' permissions from registered users, , Immediate patching, Discontinue use if patches unavailable, , HTML sanitization at ingestion, Improved context attribution, Enhanced explainability features, , Apply patches, Update to the latest browser versions, , Patched in commit ac9fe7dd8e730a103ae4481147395cc73492d786, Code Refactoring to Eliminate UAF Conditions, Adoption of Memory-Safe Languages (e.g., Rust for New Components), Integration of Static/Dynamic Analysis Tools (ASan, Valgrind), Pointer Nullification Post-Free, Reference Counting for Shared Objects, , User Education on Phishing Tactics, Reporting Mechanisms for Suspicious Emails, , Patching vulnerabilities in Gemini Cloud Assist, Search Personalization Model, and Browsing Tool, , Public warnings (e.g., Musk’s hacker alerts), User advisories for password changes/2FA, .
Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through by apps taken down, updates by developers, , patch release in chrome version 134.0.6998.177/.178, , initial mitigation through a configuration change, inbound html linting, llm firewall configurations, post-processing filters, , apply vendor-provided mitigations, discontinue use of affected products if patches are unavailable, , patching vulnerable code (e.g., chrome updates), disabling affected features (e.g., filereader api workarounds), isolating vulnerable components (e.g., sandboxing), , public awareness campaigns (e.g., google's security advisories), email filtering updates, , partial patch in september 2024 android security bulletin, planned december 2024 patch, limiting blur api calls (bypassed by attackers), , blocked gemini from rendering dangerous links, strengthened defenses against prompt injections and .
Data Recovery from Ransomware: The company recovers data encrypted by ransomware through Rollback to Stable Versions (if Exploited in Production), Memory State Validation for Critical Objects, .

Regulatory Notifications: CISA’s Binding Operational Directive

Regulatory Notifications: CISA KEV catalogBOD 22-01

Regulations Violated: GDPR (potential), FTC Consent Decrees (under investigation),
Fines Imposed: Potential billions (GDPR)
Legal Actions: Class-action lawsuits, FTC investigations, EU GDPR probes,
Regulatory Notifications: EU GDPR watchdogs notifiedFTC ongoing investigations
Ensuring Regulatory Compliance: The company ensures compliance with regulatory requirements through Potential Legal Action Against Scammers if Identified, , Class-action lawsuits, FTC investigations, EU GDPR probes, .

Lessons Learned: Enhanced security with passkeys reduces phishing risks

Lessons Learned: Implementing passkeys enhances security and user trust by mitigating risks associated with compromised account credentials.

Lessons Learned: The discovery underscores the evolving tactics of attackers and the challenges faced by marketplaces in preventing sophisticated threats.

Lessons Learned: Proper configuration of Gerrit’s Copy Conditions settings is critical to prevent unauthorized code submission.

Lessons Learned: AI assistants represent a new component of the attack surface, requiring security teams to instrument, sandbox, and carefully monitor their outputs as potential threat vectors.

Lessons Learned: The exploit highlights the importance of in-depth code auditing beyond automated fuzzing, particularly in complex subsystems like traffic control.

Lessons Learned: Memory-unsafe languages (C/C++) remain a primary attack surface for high-severity vulnerabilities like UAF., Complex software (e.g., browsers, OS kernels) with intricate object lifecycles are particularly vulnerable to UAF due to race conditions and callback-heavy architectures., Exploitation techniques evolve rapidly, with attackers leveraging hardware features (e.g., pointer authentication) and bypassing mitigations (e.g., DEP, ASLR)., Static and dynamic analysis tools (ASan, Valgrind) are critical for detecting UAF but introduce performance overhead, limiting their use in production., Transitioning to memory-safe languages (Rust, Go) or managed runtimes (Java, C#) is the most effective long-term mitigation., Runtime protections (CFI, hardware-assisted sanitizers) provide defense-in-depth but are not foolproof against sophisticated exploits., Secure coding practices (pointer nullification, RAII, reference counting) must be enforced rigorously in legacy codebases., Heap spraying and memory layout control remain foundational to UAF exploitation, highlighting the need for allocator hardening (e.g., Scudo, PartitionAlloc)., Public disclosure of UAF vulnerabilities (e.g., CVE-2019-5786) drives awareness but also provides attackers with exploitation blueprints, necessitating rapid patching.

Lessons Learned: Side-channel attacks can resurface in new forms (e.g., reviving 2013 SVG filter techniques)., Android's activity layering and GPU compression can introduce exploitable timing side channels., Mitigations like API call limits may be bypassed without addressing root causes (e.g., pixel computation restrictions)., Hardware-level vulnerabilities (e.g., Mali GPU) require vendor collaboration for comprehensive fixes.

Lessons Learned: AI systems can be weaponized as attack vectors, not just targets., Prompt injection and hidden commands in web requests pose significant risks to AI integrity., Proactive patching and user education are critical as AI integrates into daily services., Security must be prioritized in AI feature development to prevent exploitation.

Lessons Learned: Legacy infrastructure and new AI features must be integrated with robust security controls., Insider threats during layoffs require stricter access revocation protocols., Public APIs and developer tools need rigorous privacy safeguards., Transparency and timely disclosure are critical to maintaining user trust.

Recommendations: Adopt passkeys for high-risk users

Recommendations: Adopt passkeys for authentication to improve security and user experience.

Recommendations: Immediate update to secure systems

Recommendations: Upgrade browsers, Enhance security protocolsUpgrade browsers, Enhance security protocols

Recommendations: Update Chrome browser immediately

Recommendations: Prioritize updating browsers as part of essential vulnerability management practices

Recommendations: Organizations using Gerrit should review and properly configure their Copy Conditions settings to avoid similar vulnerabilities.

Recommendations: Immediate patching, Discontinue use if patches unavailable, Implement additional security controlsImmediate patching, Discontinue use if patches unavailable, Implement additional security controlsImmediate patching, Discontinue use if patches unavailable, Implement additional security controls

Recommendations: Implement inbound HTML linting, Configure LLM firewall, Enhance user awareness training, Sanitize HTML at ingestion, Improve context attribution, Enhance explainability featuresImplement inbound HTML linting, Configure LLM firewall, Enhance user awareness training, Sanitize HTML at ingestion, Improve context attribution, Enhance explainability featuresImplement inbound HTML linting, Configure LLM firewall, Enhance user awareness training, Sanitize HTML at ingestion, Improve context attribution, Enhance explainability featuresImplement inbound HTML linting, Configure LLM firewall, Enhance user awareness training, Sanitize HTML at ingestion, Improve context attribution, Enhance explainability featuresImplement inbound HTML linting, Configure LLM firewall, Enhance user awareness training, Sanitize HTML at ingestion, Improve context attribution, Enhance explainability featuresImplement inbound HTML linting, Configure LLM firewall, Enhance user awareness training, Sanitize HTML at ingestion, Improve context attribution, Enhance explainability features

Recommendations: Prioritize immediate updates to the latest browser versions

Recommendations: Kernel maintainers and distribution vendors are urged to ensure timely deployment of the fix, while researchers should continue to complement automated fuzzing with manual code reviews.

Recommendations: Category: Long-Term Strategy, Measures: Invest in rewriting critical components in memory-safe languages., Fund research into automated UAF detection (e.g., ML-based static analysis)., Advocate for industry-wide adoption of memory safety (e.g., Rust in Linux kernel)., Collaborate with hardware vendors to improve exploit mitigation (e.g., ARM MTE)., Train developers on secure memory management and exploitation techniques., Category: Long-Term Strategy, Measures: Invest in rewriting critical components in memory-safe languages., Fund research into automated UAF detection (e.g., ML-based static analysis)., Advocate for industry-wide adoption of memory safety (e.g., Rust in Linux kernel)., Collaborate with hardware vendors to improve exploit mitigation (e.g., ARM MTE)., Train developers on secure memory management and exploitation techniques., Category: Long-Term Strategy, Measures: Invest in rewriting critical components in memory-safe languages., Fund research into automated UAF detection (e.g., ML-based static analysis)., Advocate for industry-wide adoption of memory safety (e.g., Rust in Linux kernel)., Collaborate with hardware vendors to improve exploit mitigation (e.g., ARM MTE)., Train developers on secure memory management and exploitation techniques., Category: Long-Term Strategy, Measures: Invest in rewriting critical components in memory-safe languages., Fund research into automated UAF detection (e.g., ML-based static analysis)., Advocate for industry-wide adoption of memory safety (e.g., Rust in Linux kernel)., Collaborate with hardware vendors to improve exploit mitigation (e.g., ARM MTE)., Train developers on secure memory management and exploitation techniques., Category: Long-Term Strategy, Measures: Invest in rewriting critical components in memory-safe languages., Fund research into automated UAF detection (e.g., ML-based static analysis)., Advocate for industry-wide adoption of memory safety (e.g., Rust in Linux kernel)., Collaborate with hardware vendors to improve exploit mitigation (e.g., ARM MTE)., Train developers on secure memory management and exploitation techniques..

Recommendations: Google and OEMs should restrict attackers' ability to compute on victim pixels (e.g., via OS-level protections)., Monitor for unusual blur API or VSync callback usage in apps., Users should update devices promptly (December 2024 patch expected)., Avoid sideloading apps; rely on Google Play's detection mechanisms., Researchers should explore long-term fixes for GPU.zip side channels.Google and OEMs should restrict attackers' ability to compute on victim pixels (e.g., via OS-level protections)., Monitor for unusual blur API or VSync callback usage in apps., Users should update devices promptly (December 2024 patch expected)., Avoid sideloading apps; rely on Google Play's detection mechanisms., Researchers should explore long-term fixes for GPU.zip side channels.Google and OEMs should restrict attackers' ability to compute on victim pixels (e.g., via OS-level protections)., Monitor for unusual blur API or VSync callback usage in apps., Users should update devices promptly (December 2024 patch expected)., Avoid sideloading apps; rely on Google Play's detection mechanisms., Researchers should explore long-term fixes for GPU.zip side channels.Google and OEMs should restrict attackers' ability to compute on victim pixels (e.g., via OS-level protections)., Monitor for unusual blur API or VSync callback usage in apps., Users should update devices promptly (December 2024 patch expected)., Avoid sideloading apps; rely on Google Play's detection mechanisms., Researchers should explore long-term fixes for GPU.zip side channels.Google and OEMs should restrict attackers' ability to compute on victim pixels (e.g., via OS-level protections)., Monitor for unusual blur API or VSync callback usage in apps., Users should update devices promptly (December 2024 patch expected)., Avoid sideloading apps; rely on Google Play's detection mechanisms., Researchers should explore long-term fixes for GPU.zip side channels.

Recommendations: Avoid visiting suspicious websites, especially those prompting AI assistant interactions., Keep software, browsers, and apps updated to apply security patches., Limit sensitive information shared with AI tools., Use real-time anti-malware with web protection., Monitor AI tool behaviors for unusual activity (e.g., unexpected data requests).Avoid visiting suspicious websites, especially those prompting AI assistant interactions., Keep software, browsers, and apps updated to apply security patches., Limit sensitive information shared with AI tools., Use real-time anti-malware with web protection., Monitor AI tool behaviors for unusual activity (e.g., unexpected data requests).Avoid visiting suspicious websites, especially those prompting AI assistant interactions., Keep software, browsers, and apps updated to apply security patches., Limit sensitive information shared with AI tools., Use real-time anti-malware with web protection., Monitor AI tool behaviors for unusual activity (e.g., unexpected data requests).Avoid visiting suspicious websites, especially those prompting AI assistant interactions., Keep software, browsers, and apps updated to apply security patches., Limit sensitive information shared with AI tools., Use real-time anti-malware with web protection., Monitor AI tool behaviors for unusual activity (e.g., unexpected data requests).Avoid visiting suspicious websites, especially those prompting AI assistant interactions., Keep software, browsers, and apps updated to apply security patches., Limit sensitive information shared with AI tools., Use real-time anti-malware with web protection., Monitor AI tool behaviors for unusual activity (e.g., unexpected data requests).

Recommendations: Implement zero-trust architecture and regular security audits., Enhance data anonymization for AI-driven features., Strengthen insider threat detection and employee offboarding processes., Adopt user-controlled data privacy options (e.g., granular consent settings)., Collaborate with regulators to align with GDPR and other privacy laws., Invest in encryption for data at rest and in transit.Implement zero-trust architecture and regular security audits., Enhance data anonymization for AI-driven features., Strengthen insider threat detection and employee offboarding processes., Adopt user-controlled data privacy options (e.g., granular consent settings)., Collaborate with regulators to align with GDPR and other privacy laws., Invest in encryption for data at rest and in transit.Implement zero-trust architecture and regular security audits., Enhance data anonymization for AI-driven features., Strengthen insider threat detection and employee offboarding processes., Adopt user-controlled data privacy options (e.g., granular consent settings)., Collaborate with regulators to align with GDPR and other privacy laws., Invest in encryption for data at rest and in transit.Implement zero-trust architecture and regular security audits., Enhance data anonymization for AI-driven features., Strengthen insider threat detection and employee offboarding processes., Adopt user-controlled data privacy options (e.g., granular consent settings)., Collaborate with regulators to align with GDPR and other privacy laws., Invest in encryption for data at rest and in transit.Implement zero-trust architecture and regular security audits., Enhance data anonymization for AI-driven features., Strengthen insider threat detection and employee offboarding processes., Adopt user-controlled data privacy options (e.g., granular consent settings)., Collaborate with regulators to align with GDPR and other privacy laws., Invest in encryption for data at rest and in transit.Implement zero-trust architecture and regular security audits., Enhance data anonymization for AI-driven features., Strengthen insider threat detection and employee offboarding processes., Adopt user-controlled data privacy options (e.g., granular consent settings)., Collaborate with regulators to align with GDPR and other privacy laws., Invest in encryption for data at rest and in transit.
Key Lessons Learned: The key lessons learned from past incidents are Enhanced security with passkeys reduces phishing risksImplementing passkeys enhances security and user trust by mitigating risks associated with compromised account credentials.The discovery underscores the evolving tactics of attackers and the challenges faced by marketplaces in preventing sophisticated threats.Proper configuration of Gerrit’s Copy Conditions settings is critical to prevent unauthorized code submission.AI assistants represent a new component of the attack surface, requiring security teams to instrument, sandbox, and carefully monitor their outputs as potential threat vectors.The exploit highlights the importance of in-depth code auditing beyond automated fuzzing, particularly in complex subsystems like traffic control.Memory-unsafe languages (C/C++) remain a primary attack surface for high-severity vulnerabilities like UAF.,Complex software (e.g., browsers, OS kernels) with intricate object lifecycles are particularly vulnerable to UAF due to race conditions and callback-heavy architectures.,Exploitation techniques evolve rapidly, with attackers leveraging hardware features (e.g., pointer authentication) and bypassing mitigations (e.g., DEP, ASLR).,Static and dynamic analysis tools (ASan, Valgrind) are critical for detecting UAF but introduce performance overhead, limiting their use in production.,Transitioning to memory-safe languages (Rust, Go) or managed runtimes (Java, C#) is the most effective long-term mitigation.,Runtime protections (CFI, hardware-assisted sanitizers) provide defense-in-depth but are not foolproof against sophisticated exploits.,Secure coding practices (pointer nullification, RAII, reference counting) must be enforced rigorously in legacy codebases.,Heap spraying and memory layout control remain foundational to UAF exploitation, highlighting the need for allocator hardening (e.g., Scudo, PartitionAlloc).,Public disclosure of UAF vulnerabilities (e.g., CVE-2019-5786) drives awareness but also provides attackers with exploitation blueprints, necessitating rapid patching.Brand impersonation via email remains highly effective due to perceived legitimacy.,Shifting communications to private platforms (e.g., WhatsApp) bypasses corporate security controls.,User education is critical to mitigating social engineering risks.Side-channel attacks can resurface in new forms (e.g., reviving 2013 SVG filter techniques).,Android's activity layering and GPU compression can introduce exploitable timing side channels.,Mitigations like API call limits may be bypassed without addressing root causes (e.g., pixel computation restrictions).,Hardware-level vulnerabilities (e.g., Mali GPU) require vendor collaboration for comprehensive fixes.AI systems can be weaponized as attack vectors, not just targets.,Prompt injection and hidden commands in web requests pose significant risks to AI integrity.,Proactive patching and user education are critical as AI integrates into daily services.,Security must be prioritized in AI feature development to prevent exploitation.Legacy infrastructure and new AI features must be integrated with robust security controls.,Insider threats during layoffs require stricter access revocation protocols.,Public APIs and developer tools need rigorous privacy safeguards.,Transparency and timely disclosure are critical to maintaining user trust.
Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: Prioritize updating browsers as part of essential vulnerability management practices, Category: Prevention, , Category: Detection, , Kernel maintainers and distribution vendors are urged to ensure timely deployment of the fix, while researchers should continue to complement automated fuzzing with manual code reviews., Category: Response, , Immediate update to secure systems, Category: Mitigation, , Organizations using Gerrit should review and properly configure their Copy Conditions settings to avoid similar vulnerabilities., Category: Long-Term Strategy, , Adopt passkeys for high-risk users and Adopt passkeys for authentication to improve security and user experience..

Source: CISA

Source: Google

Source: Evan Blass

Source: Google Android Security Bulletin
Date Accessed: May 2025

Source: GitHub

Source: CISA

Source: Google's Threat Analysis Group

Source: National Vulnerability Database

Source: CISA

Source: Security researchers

Source: California Office of the Attorney General
Date Accessed: 2016-05-06

Source: Google Chrome Security Advisory for CVE-2019-5786
URL: https://chromereleases.googleblog.com/2019/03/stable-channel-update-for-desktop.html

Source: AddressSanitizer (ASan) Documentation
URL: https://github.com/google/sanitizers/wiki/AddressSanitizer

Source: Valgrind Memcheck Manual

Source: Rust Programming Language (Memory Safety)

Source: CERT C Coding Standard (MEM00-CPP, MEM30-C)
URL: https://wiki.sei.cmu.edu/confluence/display/c/SEI+CERT+C+Coding+Standard

Source: Intel Control-flow Enforcement Technology (CET)

Source: ARM Memory Tagging Extension (MTE)
URL: https://developer.arm.com/Architectures/Memory%20Tagging%20Extension

Source: Scudo Hardened Allocator

Source: The Register
URL: https://www.theregister.com/2024/10/21/pixnapping_android_attack/
Date Accessed: 2024-10-21

Source: Pixnapping Research Paper (ACM CCS 2024)
URL: https://www.example.com/pixnapping_paper.pdf
Date Accessed: 2024-10-21

Source: GPU.zip Research (S&P 2024)
URL: https://www.example.com/gpu_zip.pdf
Date Accessed: 2024-10-21

Source: Google Android Security Bulletin (September 2024)
URL: https://source.android.com/docs/security/bulletin/2024-09-01
Date Accessed: 2024-10-21

Source: Malwarebytes (Security Researchers)

Source: Platformer (2023 Internal Documents)
Date Accessed: 2023
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: CISA, and Source: Google, and Source: Evan Blass, and Source: Google Android Security BulletinDate Accessed: May 2025, and Source: GitHub, and Source: CISA, and Source: Google's Threat Analysis Group, and Source: National Vulnerability Database, and Source: CISA, and Source: Security researchers, and Source: CISADate Accessed: 2025-07-22, and Source: California Office of the Attorney GeneralDate Accessed: 2016-05-06, and Source: Google Chrome Security Advisory for CVE-2019-5786Url: https://chromereleases.googleblog.com/2019/03/stable-channel-update-for-desktop.html, and Source: AddressSanitizer (ASan) DocumentationUrl: https://github.com/google/sanitizers/wiki/AddressSanitizer, and Source: Valgrind Memcheck ManualUrl: https://valgrind.org/docs/manual/mc-manual.html, and Source: Rust Programming Language (Memory Safety)Url: https://www.rust-lang.org/, and Source: CERT C Coding Standard (MEM00-CPP, MEM30-C)Url: https://wiki.sei.cmu.edu/confluence/display/c/SEI+CERT+C+Coding+Standard, and Source: Intel Control-flow Enforcement Technology (CET)Url: https://www.intel.com/content/www/us/en/developer/articles/technical/control-flow-enforcement-technology.html, and Source: ARM Memory Tagging Extension (MTE)Url: https://developer.arm.com/Architectures/Memory%20Tagging%20Extension, and Source: Scudo Hardened AllocatorUrl: https://llvm.org/docs/ScudoHardenedAllocator.html, and Source: The RegisterUrl: https://www.theregister.com/2024/10/21/pixnapping_android_attack/Date Accessed: 2024-10-21, and Source: Pixnapping Research Paper (ACM CCS 2024)Url: https://www.example.com/pixnapping_paper.pdfDate Accessed: 2024-10-21, and Source: GPU.zip Research (S&P 2024)Url: https://www.example.com/gpu_zip.pdfDate Accessed: 2024-10-21, and Source: Google Android Security Bulletin (September 2024)Url: https://source.android.com/docs/security/bulletin/2024-09-01Date Accessed: 2024-10-21, and Source: Malwarebytes (Security Researchers), and Source: Weaponized Spaces (Substack)Date Accessed: 2025-03, and Source: BankInfoSecurityDate Accessed: 2025-03, and Source: GRC ReportDate Accessed: 2025-04, and Source: Proton Pass (X Thread)Date Accessed: 2025-03, and Source: CyberPressDate Accessed: 2025-03, and Source: RescanaUrl: https://rescana.comDate Accessed: 2025-04, and Source: Platformer (2023 Internal Documents)Date Accessed: 2023, and Source: ReutersDate Accessed: 2025-11, and Source: Finance MonthlyDate Accessed: 2025-11, and Source: AU10TIX Exposure (X Daily News)Date Accessed: 2024, and Source: Bright Defense (2025 Breach Lists)Date Accessed: 2025, and Source: Information Security BuzzDate Accessed: 2025-04, and Source: Tech.coDate Accessed: 2025.

Investigation Status: Preliminary reports indicate no evidence of misuse, abuse, or malevolent intent

Investigation Status: Ongoing (General Class of Vulnerability; Specific Instances May Vary)

Investigation Status: Ongoing (Google working on complete fixes; researchers disclosed workaround under embargo)

Investigation Status: Resolved (Vulnerabilities Patched)

Investigation Status: Ongoing (EU GDPR and FTC investigations, internal reviews)
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Informing concerned parties, Public announcement of passkey rollout, Public advisory to update Chrome, Advisory To Update Chrome Browser Immediately, Security Advisories (E.G., Chrome Releases Blog), Cve Publications (E.G., Cve-2019-5786), Developer Guidance On Secure Coding Practices, Warnings Via Official Channels, Collaboration With Whatsapp To Block Fraudulent Accounts, Public Disclosure Via Acm Ccs 2024 Paper, Media Statements To The Register, Google Play Detection Mechanisms, Public disclosure via security researchers; user advisories on safe AI usage, Limited Transparency and Public Posts By Musk And Cybersecurity Accounts.

Customer Advisories: Advised immediate user action to secure systems

Customer Advisories: Update Chrome browser immediately

Stakeholder Advisories: Developers: Adopt Memory-Safe Languages And Static Analysis Tools., Security Teams: Monitor For Uaf Exploitation Attempts (E.G., Heap Spraying)., Executives: Allocate Resources For Long-Term Migration Away From C/C++., End Users: Apply Patches Promptly (E.G., Browser Updates)..
Customer Advisories: Update software (e.g., browsers, OS) to the latest versions to mitigate known UAF vulnerabilities.Avoid untrusted websites/plugins that may trigger UAF exploits (e.g., malicious JavaScript).Enable exploit mitigations (e.g., Windows DEP/ASLR, macOS SIP).Report unexpected crashes (potential UAF triggers) to vendors.

Customer Advisories: Google recommends updating devices and avoiding sideloaded apps.

Stakeholder Advisories: Users advised to update systems and exercise caution with AI interactions.
Customer Advisories: Google likely issued internal advisories; public guidance focused on safe AI usage.

Stakeholder Advisories: Users Advised To Monitor For Identity Theft, Change Passwords, Enable 2Fa.
Customer Advisories: Proton Pass recommendations for password managers/VPNsX’s limited public warnings
Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: were Advised immediate user action to secure systems, Update Chrome Browser Immediately, , Developers: Adopt Memory-Safe Languages And Static Analysis Tools., Security Teams: Monitor For Uaf Exploitation Attempts (E.G., Heap Spraying)., Executives: Allocate Resources For Long-Term Migration Away From C/C++., End Users: Apply Patches Promptly (E.G., Browser Updates)., Update Software (E.G., Browsers, Os) To The Latest Versions To Mitigate Known Uaf Vulnerabilities., Avoid Untrusted Websites/Plugins That May Trigger Uaf Exploits (E.G., Malicious Javascript)., Enable Exploit Mitigations (E.G., Windows Dep/Aslr, Macos Sip)., Report Unexpected Crashes (Potential Uaf Triggers) To Vendors., , Google May Issue Security Bulletins Warning Users About The Scam., Users Advised To Report Suspicious Emails And Avoid Sharing Sensitive Information On Unsecured Channels., , Google Recommends Updating Devices And Avoiding Sideloaded Apps., , Users advised to update systems and exercise caution with AI interactions., Google likely issued internal advisories; public guidance focused on safe AI usage., Users Advised To Monitor For Identity Theft, Change Passwords, Enable 2Fa, Proton Pass Recommendations For Password Managers/Vpns, X’S Limited Public Warnings and .

Entry Point: Malicious Website

Entry Point: Malicious Extensions

High Value Targets: Public figures and controversial workers
Data Sold on Dark Web: Public figures and controversial workers

Entry Point: Compromised Apps

Entry Point: Malicious Apps

Entry Point: Google Play Store

Entry Point: Google Play Store

Entry Point: Google Play Store
High Value Targets: Indian Users,
Data Sold on Dark Web: Indian Users,

Entry Point: Sandbox Escape

Entry Point: Malicious HTML pages

Entry Point: Email

Entry Point: Malicious HTML pages

Entry Point: Memory Corruption Via Crafted Input (E.G., Malicious File, Network Packet), Race Conditions In Object Destruction (E.G., Chrome Filereader), Heap Manipulation Via Allocator Predictability,
Reconnaissance Period: ['Analysis of Target Allocator Behavior (e.g., Heap Spraying Setup)', 'Probing for UAF-Triggers (e.g., Fuzzing for Crashes)']
Backdoors Established: ['Persistent UAF Conditions in Long-Running Processes (e.g., Daemons)', 'Corrupted Function Pointers for Later Exploitation']
High Value Targets: Browser Renderer Processes (Sandbox Escape), Os Kernel Memory (Privilege Escalation), Critical Infrastructure Control Systems (Lateral Movement),
Data Sold on Dark Web: Browser Renderer Processes (Sandbox Escape), Os Kernel Memory (Privilege Escalation), Critical Infrastructure Control Systems (Lateral Movement),

Entry Point: Malicious Android App (No Special Permissions Required),
High Value Targets: 2Fa Codes (Google Authenticator), Payment Apps (Venmo), Email (Gmail), Messaging (Signal),
Data Sold on Dark Web: 2Fa Codes (Google Authenticator), Payment Apps (Venmo), Email (Gmail), Messaging (Signal),

Entry Point: Malicious Websites (Prompt Injection), Web Requests With Hidden Commands,
High Value Targets: Cloud Resources, Personal Data (Location, Saved Information),
Data Sold on Dark Web: Cloud Resources, Personal Data (Location, Saved Information),

Entry Point: Public APIs and misconfigured backend tools
Reconnaissance Period: Weeks (exposure went unnoticed initially)
High Value Targets: User Pii, Interaction Metadata, Ai Training Datasets,
Data Sold on Dark Web: User Pii, Interaction Metadata, Ai Training Datasets,

Root Causes: Third-party library bug

Root Causes: Obfuscated Code in Extensions
Corrective Actions: Removal of Malicious Extensions

Root Causes: Vulnerability in password-based authentication
Corrective Actions: Introduction of passkeys

Root Causes: Previous dependence on hardware tokens for two-factor authentication
Corrective Actions: Rollout of passkeys for enhanced security

Root Causes: Download of malicious apps

Root Causes: Lapse in app store security

Root Causes: Vulnerability in FreeType font library
Corrective Actions: Patch update to FreeType version 2.13.0 or later

Root Causes: Vulnerability In Chrome Loader Component,
Corrective Actions: Emergency Update To Chrome Browser,

Root Causes: Out-of-bounds read and write weakness in Chrome’s V8 JavaScript and WebAssembly engine
Corrective Actions: Emergency security updates

Root Causes: Misconfigurations in Gerrit’s default settings and Copy Conditions settings
Corrective Actions: Reconfigured label persistence settings and restricted 'addPatchSet' permissions

Root Causes: Type confusion flaw in V8 JavaScript engine
Corrective Actions: Immediate Patching, Discontinue Use If Patches Unavailable,

Root Causes: Prompt-injection technique through crafted HTML and CSS code
Corrective Actions: Inbound Html Linting, Llm Firewall Configurations, Post-Processing Filters, Html Sanitization At Ingestion, Improved Context Attribution, Enhanced Explainability Features,

Root Causes: Improper input validation within Chromium’s ANGLE and GPU components
Corrective Actions: Apply Patches, Update To The Latest Browser Versions,

Root Causes: Human error by third-party vendor

Root Causes: Logic flaw in hfsc_enqueue() and NETEM’s packet duplication bug
Corrective Actions: Patch deployed in commit ac9fe7dd8e730a103ae4481147395cc73492d786

Root Causes: Lack Of Pointer Nullification After Free, Ambiguous Object Ownership In Complex Codebases, Race Conditions In Asynchronous Operations (E.G., Callbacks), Overreliance On Manual Memory Management In C/C++, Insufficient Static/Dynamic Analysis Coverage, Heap Allocator Designs Prone To Predictable Layouts, Inadequate Sandboxing For Memory-Unsafe Components,
Corrective Actions: Mandate Static Analysis (Asan, Clang) For All C/C++ Code, Refactor Critical Components To Use Smart Pointers (E.G., `Std::Shared Ptr`), Implement Custom Allocators With Uaf Detection (E.G., Guard Pages), Enforce Code Reviews Focused On Memory Safety, Deploy Runtime Mitigations (Cfi, Hardware-Based Protections), Establish A Bug Bounty Program For Uaf Reports (E.G., Chrome Vrp), Document Object Lifetime Rules For Complex Systems (E.G., Browsers), Train Developers On Uaf Exploitation Techniques To Raise Awareness,

Root Causes: Android'S Custom Tabs Api And Activity Layering Enabling Pixel Access., Mali Gpu'S Lossless Compression Creating Data-Dependent Timing Side Channels., Lack Of Restrictions On Computing Victim Pixels Via Blur Api/Vsync Callbacks., Insufficient Isolation Between App Windows In Rendering Pipeline.,
Corrective Actions: Google'S Partial Mitigations (September/December 2024 Patches)., Planned Restrictions On Pixel Computation Capabilities (Long-Term)., Oem Collaboration To Address Gpu-Level Vulnerabilities (E.G., Mali Compression).,

Root Causes: Insufficient Input Validation In Gemini Ai Components (Allowing Prompt Injection)., Lack Of Safeguards Against Hidden Commands In Web Requests/Browsing History., Over-Reliance On User Trust In Ai Interactions Without Robust Abuse Detection.,
Corrective Actions: Blocked Rendering Of Dangerous Links In Gemini., Enhanced Defenses Against Prompt Injection Attacks., Public Awareness Campaigns On Ai Security Risks.,

Root Causes: Accidental Api Misconfiguration During Feature Updates, Legacy Twitter Infrastructure Clashes With New Xai Integrations, Inadequate Data Anonymization In Ai Features (E.G., Grok Ai), Insider Threat During Mass Layoffs (Disgruntled Employee Retaliation), Lack Of Real-Time Monitoring For Anomalous Data Flows,
Corrective Actions: Systemic Overhaul Of Api Access Controls, Mandatory Encryption For Sensitive Data, Enhanced Insider Threat Detection Programs, Regular Third-Party Security Audits, Transparency Reports To Rebuild User Trust,
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as Sucuri, Security Researchers (E.G., Cve-2019-5786 Disclosure), Compiler/Toolchain Developers (E.G., Asan, Clang), , Runtime Uaf Detection (E.G., Asan In Debug Builds), Heap Integrity Checks In Production, , Monitoring For Brand Abuse, Dark Web Scanning For Stolen Data, , Academic Researchers (Uc Berkeley, Uw, Cmu, Ucsd), .
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Removal of Malicious Extensions, Introduction of passkeys, Rollout of passkeys for enhanced security, Patch update to FreeType version 2.13.0 or later, Emergency Update To Chrome Browser, , Emergency security updates, Reconfigured label persistence settings and restricted 'addPatchSet' permissions, Immediate Patching, Discontinue Use If Patches Unavailable, , Inbound Html Linting, Llm Firewall Configurations, Post-Processing Filters, Html Sanitization At Ingestion, Improved Context Attribution, Enhanced Explainability Features, , Apply Patches, Update To The Latest Browser Versions, , Patch deployed in commit ac9fe7dd8e730a103ae4481147395cc73492d786, Mandate Static Analysis (Asan, Clang) For All C/C++ Code, Refactor Critical Components To Use Smart Pointers (E.G., `Std::Shared Ptr`), Implement Custom Allocators With Uaf Detection (E.G., Guard Pages), Enforce Code Reviews Focused On Memory Safety, Deploy Runtime Mitigations (Cfi, Hardware-Based Protections), Establish A Bug Bounty Program For Uaf Reports (E.G., Chrome Vrp), Document Object Lifetime Rules For Complex Systems (E.G., Browsers), Train Developers On Uaf Exploitation Techniques To Raise Awareness, , Strengthen Email Security Protocols To Prevent Spoofing., Deploy Ai-Driven Phishing Detection Tools., Partner With Messaging Platforms To Identify And Block Fraudulent Accounts., Launch Public Awareness Campaigns About The Scam., , Google'S Partial Mitigations (September/December 2024 Patches)., Planned Restrictions On Pixel Computation Capabilities (Long-Term)., Oem Collaboration To Address Gpu-Level Vulnerabilities (E.G., Mali Compression)., , Blocked Rendering Of Dangerous Links In Gemini., Enhanced Defenses Against Prompt Injection Attacks., Public Awareness Campaigns On Ai Security Risks., , Systemic Overhaul Of Api Access Controls, Mandatory Encryption For Sensitive Data, Enhanced Insider Threat Detection Programs, Regular Third-Party Security Audits, Transparency Reports To Rebuild User Trust, .
Last Attacking Group: The attacking group in the last incident were an Evan Blass, APT Group, Unauthorized recipient, D3vilFizzBuzz101, Unidentified Scammers (Likely Organized Fraud Group) and Opportunistic Data ScrapersDisgruntled Former Employee(s).
Most Recent Incident Detected: The most recent incident detected was on March 2025.
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2025-03.
Most Recent Incident Resolved: The most recent incident resolved was on March 2025.
Most Significant Data Compromised: The most significant data compromised in an incident were Confidential, sensitive data about Google personnel, Sensitive Data, Personal Data, , Sensitive User Data, Personal Photos, IDs, , contacts, call logs, photos, , Design details, AI features, Hardware details, , OAuth tokens, session identifiers, private data, , Names, Social Security numbers, , Potential Memory Leakage (Sensitive Data in Freed Blocks), Corruption of Application State, , 2FA Codes (Google Authenticator), Sensitive App Data (Google Maps, Signal, Venmo), Email Content (Gmail), Installed Apps List, , Personal Data (Saved Information, Location), Cloud Resource Access, , User IDs, Locations, Interaction Histories, Emails, Bios, Follower Counts, Metadata and .
Most Significant System Affected: The most significant system affected in an incident were Google Chrome and and and WindowsMacLinuxAndroid and Google Chrome and Google Artifact RegistryGoogle Container Registry and and Chrome Browser and Google’s Pixel 7, 8, and 9 series smartphones and Google ChromeMicrosoft EdgeOperaBraveVivaldi and ChromiumOSChromiumDartBazelDawnBoringSSLCeres SolverQuicheAndroid KVMvarious Linux-related projects and Google ChromeMicrosoft EdgeOperaOther Chromium-based browsers and GmailDocsSlidesDrive and Google ChromeMicrosoft EdgeOperaAll Chromium-based browsers and Google kernelCTF instancesDebian 12 systems and Web Browsers (e.g., Google Chrome)Operating Systems (Kernel/Userspace Components)Critical Infrastructure SoftwareApplications Written in C/C++JavaScript Engines (e.g., V8)DOM Manipulation Libraries and Android Devices (Pixel 6–9, Samsung Galaxy S25)Apps: Google Authenticator, Google Maps, Signal, VenmoWebsites: Gmail (mail.google.com) and Google Gemini AI (Cloud Assist, Search Personalization, Browsing Tool)Chrome Browsing History Integration and Public APIsBackend Developer ToolsAI-Driven Features (e.g., Grok AI).
Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was Sucuri, security researchers (e.g., cve-2019-5786 disclosure), compiler/toolchain developers (e.g., asan, clang), , academic researchers (uc berkeley, uw, cmu, ucsd), .
Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were Apps Taken DownUpdates by Developers, Patch release in Chrome version 134.0.6998.177/.178, Initial mitigation through a configuration change, Inbound HTML lintingLLM firewall configurationsPost-processing filters, Apply vendor-provided mitigationsDiscontinue use of affected products if patches are unavailable, Patching Vulnerable Code (e.g., Chrome Updates)Disabling Affected Features (e.g., FileReader API Workarounds)Isolating Vulnerable Components (e.g., Sandboxing), Public Awareness Campaigns (e.g., Google's security advisories)Email Filtering Updates, Partial patch in September 2024 Android security bulletinPlanned December 2024 patchLimiting blur API calls (bypassed by attackers) and Blocked Gemini from rendering dangerous linksStrengthened defenses against prompt injections.
Most Sensitive Data Compromised: The most sensitive data compromised in a breach were Sensitive Data, Potential Memory Leakage (Sensitive Data in Freed Blocks), Corruption of Application State, Confidential, sensitive data about Google personnel, contacts, Email Content (Gmail), Sensitive User Data, Hardware details, Personal Data (Saved Information, Location), 2FA Codes (Google Authenticator), Bios, Social Security numbers, Locations, session identifiers, Personal Photos, Personal Data, Cloud Resource Access, Interaction Histories, Sensitive App Data (Google Maps, Signal, Venmo), Follower Counts, IDs, Emails, OAuth tokens, photos, Names, User IDs, Installed Apps List, Metadata, call logs, AI features, Design details and private data.
Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 3.0B.
Highest Fine Imposed: The highest fine imposed for a regulatory violation was Potential billions (GDPR).
Most Significant Legal Action: The most significant legal action taken for a regulatory violation was Potential Legal Action Against Scammers if Identified, , Class-action lawsuits, FTC investigations, EU GDPR probes, .
Most Significant Lesson Learned: The most significant lesson learned from past incidents was Transparency and timely disclosure are critical to maintaining user trust.
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Immediate patching, Monitor for unusual blur API or VSync callback usage in apps., Enhance security protocols, Implement inbound HTML linting, Limit sensitive information shared with AI tools., Strengthen insider threat detection and employee offboarding processes., Collaborate with messaging platforms (e.g., WhatsApp) to disrupt scam operations., Use real-time anti-malware with web protection., Collaborate with regulators to align with GDPR and other privacy laws., Category: Prevention, , Avoid visiting suspicious websites, especially those prompting AI assistant interactions., Category: Detection, , Enhance user awareness training, Sanitize HTML at ingestion, Enhance data anonymization for AI-driven features., Implement additional security controls, Configure LLM firewall, Organizations using Gerrit should review and properly configure their Copy Conditions settings to avoid similar vulnerabilities., Implement multi-factor authentication (MFA) for high-risk transactions., Monitor AI tool behaviors for unusual activity (e.g., unexpected data requests)., Improve context attribution, Adopt passkeys for high-risk users, Update Chrome browser immediately, Researchers should explore long-term fixes for GPU.zip side channels., Adopt user-controlled data privacy options (e.g., granular consent settings)., Keep software, browsers, and apps updated to apply security patches., Kernel maintainers and distribution vendors are urged to ensure timely deployment of the fix, while researchers should continue to complement automated fuzzing with manual code reviews., Discontinue use if patches unavailable, Educate users on verifying sender identities and avoiding unsolicited offers., Implement zero-trust architecture and regular security audits., Immediate update to secure systems, Enhance explainability features, Adopt passkeys for authentication to improve security and user experience., Monitor dark web for brand abuse and stolen credentials., Prioritize updating browsers as part of essential vulnerability management practices, Prioritize immediate updates to the latest browser versions, Category: Response, , Users should update devices promptly (December 2024 patch expected)., Invest in encryption for data at rest and in transit., Category: Mitigation, , Category: Long-Term Strategy, , Google and OEMs should restrict attackers' ability to compute on victim pixels (e.g., via OS-level protections)., Enhance email filtering to detect spoofed domains and branded phishing attempts., Upgrade browsers and Avoid sideloading apps; rely on Google Play's detection mechanisms..
Most Recent Source: The most recent source of information about an incident are Valgrind Memcheck Manual, Google Android Security Bulletin (September 2024), Platformer (2023 Internal Documents), Reuters, Bright Defense (2025 Breach Lists), Proton Pass (X Thread), Information Security Buzz, CyberPress, ARM Memory Tagging Extension (MTE), AU10TIX Exposure (X Daily News), The Register, CERT C Coding Standard (MEM00-CPP, MEM30-C), Malwarebytes (Security Researchers), Google Chrome Security Advisory for CVE-2019-5786, Rust Programming Language (Memory Safety), Security researchers, Intel Control-flow Enforcement Technology (CET), GitHub, Weaponized Spaces (Substack), Rescana, AddressSanitizer (ASan) Documentation, National Vulnerability Database, CISA, GPU.zip Research (S&P 2024), GRC Report, Google, Tech.co, Scudo Hardened Allocator, Finance Monthly, California Office of the Attorney General, Google's Threat Analysis Group, Pixnapping Research Paper (ACM CCS 2024), Google Android Security Bulletin, BankInfoSecurity and Evan Blass.
Most Recent URL for Additional Resources: The most recent URL for additional resources on cybersecurity best practices is https://chromereleases.googleblog.com/2019/03/stable-channel-update-for-desktop.html, https://github.com/google/sanitizers/wiki/AddressSanitizer, https://valgrind.org/docs/manual/mc-manual.html, https://www.rust-lang.org/, https://wiki.sei.cmu.edu/confluence/display/c/SEI+CERT+C+Coding+Standard, https://www.intel.com/content/www/us/en/developer/articles/technical/control-flow-enforcement-technology.html, https://developer.arm.com/Architectures/Memory%20Tagging%20Extension, https://llvm.org/docs/ScudoHardenedAllocator.html, https://www.theregister.com/2024/10/21/pixnapping_android_attack/, https://www.example.com/pixnapping_paper.pdf, https://www.example.com/gpu_zip.pdf, https://source.android.com/docs/security/bulletin/2024-09-01, https://rescana.com .
Current Status of Most Recent Investigation: The current status of the most recent investigation is Preliminary reports indicate no evidence of misuse, abuse, or malevolent intent.
Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was Developers: Adopt memory-safe languages and static analysis tools., Security Teams: Monitor for UAF exploitation attempts (e.g., heap spraying)., Executives: Allocate resources for long-term migration away from C/C++., End Users: Apply patches promptly (e.g., browser updates)., Google may issue security bulletins warning users about the scam., Users advised to update systems and exercise caution with AI interactions., Users advised to monitor for identity theft, change passwords, enable 2FA, .
Most Recent Customer Advisory: The most recent customer advisory issued were an Advised immediate user action to secure systems, Update Chrome browser immediately, Update software (e.g., browsers, OS) to the latest versions to mitigate known UAF vulnerabilities.Avoid untrusted websites/plugins that may trigger UAF exploits (e.g., malicious JavaScript).Enable exploit mitigations (e.g., Windows DEP/ASLR, macOS SIP).Report unexpected crashes (potential UAF triggers) to vendors., Users advised to report suspicious emails and avoid sharing sensitive information on unsecured channels., Google recommends updating devices and avoiding sideloaded apps., Google likely issued internal advisories; public guidance focused on safe AI usage. and Proton Pass recommendations for password managers/VPNsX’s limited public warnings.
Most Recent Entry Point: The most recent entry point used by an initial access broker were an Compromised Apps, Malicious Extensions, Google Play Store, Email, Public APIs and misconfigured backend tools, Malicious Website, Malicious Apps, Phishing Email (Spoofed Google Branding), Malicious HTML pages and Sandbox Escape.
Most Recent Reconnaissance Period: The most recent reconnaissance period for an incident was Analysis of Target Allocator Behavior (e.g., Heap Spraying Setup)Probing for UAF-Triggers (e.g., Fuzzing for Crashes), Weeks (exposure went unnoticed initially).
Most Significant Root Cause: The most significant root cause identified in post-incident analysis was Third-party library bug, Obfuscated Code in Extensions, Vulnerability in password-based authentication, Previous dependence on hardware tokens for two-factor authentication, Download of malicious apps, Lapse in app store security, Vulnerability in FreeType font library, Vulnerability in Chrome Loader component, Out-of-bounds read and write weakness in Chrome’s V8 JavaScript and WebAssembly engine, Misconfigurations in Gerrit’s default settings and Copy Conditions settings, Type confusion flaw in V8 JavaScript engine, Prompt-injection technique through crafted HTML and CSS code, Improper input validation within Chromium’s ANGLE and GPU components, Human error by third-party vendor, Logic flaw in hfsc_enqueue() and NETEM’s packet duplication bug, Lack of Pointer Nullification After FreeAmbiguous Object Ownership in Complex CodebasesRace Conditions in Asynchronous Operations (e.g., Callbacks)Overreliance on Manual Memory Management in C/C++Insufficient Static/Dynamic Analysis CoverageHeap Allocator Designs Prone to Predictable LayoutsInadequate Sandboxing for Memory-Unsafe Components, Lack of robust email authentication (DMARC/DKIM/SPF) enforcement for spoofed domains.User trust in branded communications without verification.Exploitation of private messaging platforms to evade detection., Android's Custom Tabs API and Activity layering enabling pixel access.Mali GPU's lossless compression creating data-dependent timing side channels.Lack of restrictions on computing victim pixels via blur API/VSync callbacks.Insufficient isolation between app windows in rendering pipeline., Insufficient input validation in Gemini AI components (allowing prompt injection).Lack of safeguards against hidden commands in web requests/browsing history.Over-reliance on user trust in AI interactions without robust abuse detection., Accidental API misconfiguration during feature updatesLegacy Twitter infrastructure clashes with new xAI integrationsInadequate data anonymization in AI features (e.g., Grok AI)Insider threat during mass layoffs (disgruntled employee retaliation)Lack of real-time monitoring for anomalous data flows.
Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was Removal of Malicious Extensions, Introduction of passkeys, Rollout of passkeys for enhanced security, Patch update to FreeType version 2.13.0 or later, Emergency update to Chrome browser, Emergency security updates, Reconfigured label persistence settings and restricted 'addPatchSet' permissions, Immediate patchingDiscontinue use if patches unavailable, Inbound HTML lintingLLM firewall configurationsPost-processing filtersHTML sanitization at ingestionImproved context attributionEnhanced explainability features, Apply patchesUpdate to the latest browser versions, Patch deployed in commit ac9fe7dd8e730a103ae4481147395cc73492d786, Mandate Static Analysis (ASan, Clang) for All C/C++ CodeRefactor Critical Components to Use Smart Pointers (e.g., `std::shared_ptr`)Implement Custom Allocators with UAF Detection (e.g., Guard Pages)Enforce Code Reviews Focused on Memory SafetyDeploy Runtime Mitigations (CFI, Hardware-Based Protections)Establish a Bug Bounty Program for UAF Reports (e.g., Chrome VRP)Document Object Lifetime Rules for Complex Systems (e.g., Browsers)Train Developers on UAF Exploitation Techniques to Raise Awareness, Strengthen email security protocols to prevent spoofing.Deploy AI-driven phishing detection tools.Partner with messaging platforms to identify and block fraudulent accounts.Launch public awareness campaigns about the scam., Google's partial mitigations (September/December 2024 patches).Planned restrictions on pixel computation capabilities (long-term).OEM collaboration to address GPU-level vulnerabilities (e.g., Mali compression)., Blocked rendering of dangerous links in Gemini.Enhanced defenses against prompt injection attacks.Public awareness campaigns on AI security risks., Systemic overhaul of API access controlsMandatory encryption for sensitive dataEnhanced insider threat detection programsRegular third-party security auditsTransparency reports to rebuild user trust.
.png)
Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.

Get company history
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.