Google Breach Incident Score: Analysis & Impact (GOO32101632112225)

In this Rankiteo incident briefing, we review the Google breach identified under incident ID GOO32101632112225.

The analysis begins with a detailed overview of Google's information like the linkedin page: https://www.linkedin.com/company/youtube, the number of followers: 39689549, the industry type: Software Development and the number of employees: 324578 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 838 and after the incident was 838 with a difference of 0 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Google and their customers.

Google (Gemini AI Services) recently reported "Gemini AI 'Trifecta' Vulnerabilities Discovered and Patched", a noteworthy cybersecurity incident.

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 Pe...

The disruption is felt across the environment, affecting Google Gemini AI (Cloud Assist, Search Personalization, Browsing Tool) and Chrome Browsing History Integration, and exposing Personal Data (Saved Information, Location) and Cloud Resource Access.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Blocked Gemini from rendering dangerous links and Strengthened defenses against prompt injections, and began remediation that includes Patching vulnerabilities in Gemini Cloud Assist, Search Personalization Model, and Browsing Tool, and stakeholders are being briefed through Public disclosure via security researchers; user advisories on safe AI usage.

The case underscores how Resolved (Vulnerabilities Patched), teams are taking away lessons such as 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 and Proactive patching and user education are critical as AI integrates into daily services, and recommending next steps like Avoid visiting suspicious websites, especially those prompting AI assistant interactions, Keep software, browsers, and apps updated to apply security patches and Limit sensitive information shared with AI tools, with advisories going out to stakeholders covering Users advised to update systems and exercise caution with AI interactions.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with high confidence (95%), with evidence including exploit hidden prompts in web requests in Gemini Cloud Assist, and injected malicious commands via Chrome browsing history and Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (85%), with evidence including users interacting with malicious websites to trigger flaws, and malicious websites injecting harmful prompts. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: JavaScript (T1059.007) with moderate to high confidence (80%), with evidence including inject malicious commands via Chrome browsing history, and hidden prompts in web requests triggering AI actions. Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with moderate to high confidence (70%), with evidence including browsing Tool tricked into sending user data to malicious servers, and unauthorized control over cloud resources. Under the Privilege Escalation tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), with evidence including potential unauthorized control over cloud resources, and gemini Cloud Assist tricked by hidden prompts. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (85%), with evidence including hidden prompts in web requests bypassing detection, and malicious commands injected via browsing history. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (75%), with evidence including cloud Resource Access Credentials (Potential) compromised, and saved information leakage via Browsing Tool. Under the Discovery tactic, the analysis identified System Information Discovery (T1082) with moderate to high confidence (80%), with evidence including exfiltrate stored user data (including location and saved information), and search Personalization Model leaking personal data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), with evidence including exfiltrate stored user data (location, saved information), and browsing Tool sending user data to malicious servers. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with high confidence (90%), with evidence including browsing Tool tricked into sending user data to malicious servers, and data leakage to external servers. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating system integrity at risk (implied by unauthorized control) and Resource Hijacking (T1496) with moderate to high confidence (85%), with evidence including unauthorized control over cloud resources, and gemini Cloud Assist exploitation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.