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Amazon Science

Amazon Science Vendor Cyber Rating & Cyber Score

amazon.science

Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience


Amazon Science A.I CyberSecurity Scoring

Amazon Science
Company Information
Website:https://www.amazon.science
Employees number:4
Number of followers:386,739
NAICS:5417
Industry Type:Research Services
Homepage:amazon.science
Amazon Science Risk Score (AI oriented)
Between 600 and 649
logo
Amazon ScienceResearch Services
Updated:
11/08/2026
645/1000
Poor
Caa
AaaAaABaaBaBCaaCaC
Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
Amazon Science Global Score (TPRM)
xxxx
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Amazon ScienceResearch Services
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Vulnerabilities
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Findings

Amazon Science
Amazon SciencePoor
Current Score
645Caa (POOR)
01000
6 incidents
-20.4 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
AUGUST 2026
644Before Incident
JULY 2026
648Before Incident
Vulnerability
22 Jul 2026Amazon Science
Oracle, AlmaLinux, CentOS, Rocky Linux and Amazon: RefluXFS Linux Kernel Vulnerability Lets Attackers Gain Root Access

New Linux Kernel Vulnerability 'RefluXFS' Grants Root Access via XFS Race Condition

643After Incident
CRITICAL-5
AMAORATUXROC1784752018
New Linux Kernel Vulnerability "RefluXFS" Grants Root Access via XFS Race Condition A critical Linux kernel vulnerability, CVE-2026-64600 (dubbed RefluXFS), has been disclosed by Qualys Threat Research Unit (TRU), allowing unprivileged local users to overwrite protected system files and escalate to root privileges even on systems with SELinux in Enforcing mode. The flaw stems from a race condition in the XFS filesystem’s copy-on-write (CoW) path, triggered when two concurrent O_DIRECT writes target the same reflinked file. ### How the Exploit Works XFS normally handles reflinked file writes by allocating new blocks, but the kernel briefly drops its inode lock while waiting for transaction log space. During this window, a second write operation can remap the file and drop the reference count, causing the first write to corrupt the original block using a stale reference. Since O_DIRECT bypasses the page cache, the malicious write persists on disk without leaving kernel logs, making detection nearly impossible. Qualys demonstrated a proof-of-concept on a default RHEL 10.2 deployment, silently removing the root account’s password protection in seconds, granting passwordless root access that survives reboots. ### Scope & Impact - Affected Systems: Linux kernels 4.11+ (since 2017), including RHEL 8/9/10, CentOS Stream, Oracle Linux, Rocky/AlmaLinux, Amazon Linux 2023, and Fedora 31+. - Lower-Risk Distros: Debian, Ubuntu, and SUSE are only vulnerable if XFS is manually configured with `reflink=1`. - Conditions for Exploitation: - Kernel 4.11+ without the patch. - XFS filesystem with `reflink=1` enabled. - A writable directory for an unprivileged user and a high-value target (e.g., SUID-root binary). - Estimated Impact: Over 16.4 million systems worldwide, per Qualys’ analysis. ### Security Bypass & No Workarounds The flaw operates below conventional kernel hardening mechanisms, evading protections like: - KASLR, SMEP, SMAP (memory protections). - Kernel lockdown (no restriction on O_DIRECT/FICLONE). - SELinux (does not block the vulnerable code path). - Container isolation (user-namespace restrictions and capability limits fail to mitigate). No reliable workaround exists patching is the only solution. ### AI-Assisted Discovery & Broader Trend The vulnerability was identified through a joint research initiative between Qualys and Anthropic, using Claude Mythos Preview to hunt for Dirty COW-style race conditions. After iterative prompting, the AI model pinpointed the XFS flaw and generated a working PoC, later verified by Qualys engineers. This follows a 2026 trend of high-impact Linux privilege-escalation bugs, including: - CVE-2026-46333 (nine-year-old ptrace flaw). - CrackArmor (AppArmor-based root-access chain, affecting 12M+ systems). - DirtyClone, DirtyFrag, and Copy Fail (page-cache corruption bugs). ### Vendor Response & Patching Fixed kernels are already available for RHEL, Oracle Linux, AlmaLinux, Rocky Linux, and Fedora, with backports in progress. Organizations are advised to apply updates and reboot affected systems, particularly internet-facing and multi-tenant environments, as no interim mitigation exists.
INCIDENT DETAILS -
TYPE
Privilege Escalation
IMPACT
Systems Affected: Over 16.4 million systems worldwideOperational Impact: Potential unauthorized root access, system compromise, and persistence of malicious changesIdentity Theft Risk: High (potential for unauthorized access to sensitive data)
DATA BREACH
Sensitivity Of Data: Potential access to sensitive system data (e.g., passwords, configuration files)
JULY 2026
652Before Incident
Vulnerability
08 Jul 2026Amazon Science
Cursor, Anthropic, Amazon Web Services, Augment, Windsurf and Google: New GhostApproval Vulnerability Affects Amazon Q, Claude Code, Cursor, and Other AI Agents

GhostApproval Vulnerability Exposes Critical Flaw in Major AI Coding Assistants

647After Incident
CRITICAL-5
ANYWINGOOAMAAUGANT1783578409
GhostApproval Vulnerability Exposes Critical Flaw in Major AI Coding Assistants A newly identified vulnerability, dubbed GhostApproval, has revealed a systemic security flaw in six widely used AI coding assistants Amazon Q Developer, Anthropic Claude Code, Augment, Cursor, Google Antigravity, and Windsurf allowing attackers to bypass human-in-the-loop (HITL) safety controls and potentially achieve remote code execution on developers' machines. Discovered by Wiz researchers, the exploit leverages symbolic link following (CWE-61), a technique historically used in Docker escapes and privilege escalation attacks but now repurposed to target AI coding tools. The attack is deceptively simple: an attacker crafts a malicious repository containing a symlink (e.g., project_settings.json~/.ssh/authorized_keys). When a developer clones the repo and instructs their AI assistant to "set up the workspace," the agent follows the symlink, writing the attacker’s SSH public key directly to the victim’s authorized_keys file, granting persistent, password-less access. What makes GhostApproval particularly insidious is its UI misrepresentation layer (CWE-451). In testing, Anthropic’s Claude Code demonstrated this flaw: while the agent’s internal reasoning correctly identified the symlink’s true target (e.g., a zsh configuration file), the user-facing prompt merely asked, "Make this edit to project_settings.json?" This discrepancy turns HITL safeguards into a false sense of security, as users unknowingly approve malicious actions. ### Vendor Responses & Patches Three vendors issued fixes: - Amazon Web Services (AWS) patched the issue in language server v1.69.0 (May 27, 2026, CVE-2026-12958). - Cursor released a fix in v3.0 (June 5, 2026, CVE-2026-50549). - Google (Antigravity) deployed a fix on May 22, 2026, though it has not yet assigned a CVE. Augment and Windsurf acknowledged the reports but had not fully addressed the issue at the time of disclosure. Windsurf’s pre-authorization variant was especially dangerous, as the agent wrote files to disk before displaying the confirmation dialog, effectively making the prompt an "undo" rather than a security gate. Anthropic initially rejected the report, arguing that user-trusted directories and approved prompts shifted responsibility to the end user. However, after further review, versions 2.1.173+ now resolve symlinks and warn users before writing to sensitive files a change that had been implemented in v2.1.32 (February 5, 2026) as part of internal security hardening. ### Mitigation Recommendations Wiz researchers outlined three key defenses for AI coding tool vendors: 1. Resolve symlinks before displaying prompts always show the canonical target path. 2. Warn explicitly when resolved paths exit the workspace writes to ~/.ssh/authorized_keys should be visibly distinct from those to ./config.json. 3. Never write to disk before explicit user authorization confirmation dialogs must act as security gates, not undo mechanisms. The vulnerability was first discovered on February 10, 2026, with vendor reports submitted between February 12 and March 5, 2026. Public disclosure occurred on July 8, 2026, following a 90+ day coordinated disclosure window. GhostApproval highlights a category-level design gap in AI coding assistants, where HITL controls intended as a last line of defense can be systematically bypassed. As AI agents gain greater autonomy over developer filesystems, the integrity of these controls must be treated as a first-class security requirement.
INCIDENT DETAILS -
TYPE
Vulnerability Exploitation
IMPACT
Data Compromised: SSH credentials, sensitive filesystem accessSystems Affected: Developers' machines, AI coding assistants (Amazon Q Developer, Anthropic Claude Code, Augment, Cursor, Google Antigravity, Windsurf)Operational Impact: Potential remote code execution, unauthorized system accessBrand Reputation Impact: Moderate to high (public disclosure of systemic flaw)Identity Theft Risk: High (SSH key compromise)
DATA BREACH
Type Of Data Compromised: SSH credentials, filesystem accessSensitivity Of Data: High (SSH keys, system access)SSH authorized_keysConfiguration files
JUNE 2026
650Before Incident
MAY 2026
654Before Incident
Vulnerability
27 May 2026Amazon Science
OpenAI, Anthropic, xAI and Amazon: All Major LLMs Exposed to Multi-Turn Manipulation, Warn Researchers

Multi-Turn Attacks Bypassing LLM Safety Guardrails

649After Incident
CRITICAL-5
OPEANTAMAXAI1779892138
Cisco Researchers Warn of Multi-Turn Attacks Bypassing LLM Safety Guardrails Researchers at Cisco have uncovered a critical vulnerability in leading large language models (LLMs), demonstrating that their safety guardrails can be bypassed through multi-turn conversations. The study tested widely used models including OpenAI’s ChatGPT, Anthropic’s Claude, Google Gemini, Amazon Nova, and xAI’s Grok revealing that none were fully resistant to exploitation. The attack method relies on prolonged, iterative dialogue, where adversaries refine prompts, adopt personas, or gradually escalate requests to circumvent built-in protections. Unlike single-prompt testing, which many organizations rely on for safety evaluations, real-world attackers persist across multiple exchanges, exposing gaps in current security benchmarks. Key findings include: - No model was immune to multi-turn manipulation, challenging existing AI safety assessments. - Techniques like roleplay, ambiguity, and reframing requests proved effective in bypassing guardrails. - Configuration matters: For example, Grok became significantly more vulnerable when "reasoning mode" was enabled. The report highlights a disconnect between current safety evaluations and real-world threats, warning that enterprises deploying LLMs may underestimate risks. As regulators push for improved testing standards, Cisco’s research underscores the need for more robust defenses against evolving attack vectors.
INCIDENT DETAILS -
TYPE
Vulnerability Exploitation
IMPACT
Systems Affected: LLMs (OpenAI’s ChatGPT, Anthropic’s Claude, Google Gemini, Amazon Nova, xAI’s Grok)Operational Impact: Potential underestimation of risks by enterprises deploying LLMsBrand Reputation Impact: Potential reputational damage to LLM providers
MAY 2026
718Before Incident
Breach
04 May 2026Amazon Science
Amazon Web Services and Braintrust: AI evaluation startup Braintrust confirms breach, tells every customer to rotate sensitive keys

Braintrust Urges API Key Rotation After AWS Cloud Breach Exposes Customer Secrets

652After Incident
LOW-66
AMAUSE1778092688
Braintrust Urges API Key Rotation After AWS Cloud Breach Exposes Customer Secrets AI evaluation startup Braintrust has instructed customers to revoke and replace their API keys following unauthorized access to an Amazon Web Services (AWS) cloud account containing sensitive credentials. The breach, disclosed in an email sent to customers on Monday and later posted on the company’s website, involved an AWS account storing API keys used to access cloud-based AI models. Braintrust confirmed the incident was contained, locking down the compromised account, auditing related systems, and rotating internal secrets. While the company stated it had only identified one impacted customer and found no evidence of broader exposure, it advised all users to rotate their stored API keys as a precaution. The cause of the breach remains under investigation. In a statement to TechCrunch, Braintrust spokesperson Martin Bergman emphasized the move was taken "out of an abundance of caution," noting no evidence of a confirmed breach at the time of disclosure. The startup, which provides a platform for monitoring AI models and raised $80 million in a February funding round valuing it at $800 million, positions itself as an "operating system for engineers building AI software." Cybersecurity experts warn the incident could have downstream effects for affected customers, particularly AI companies reliant on Braintrust’s infrastructure. Similar breaches, such as the 2023 attack on CircleCI, have demonstrated how compromised cloud accounts can expose API keys, allowing attackers to impersonate legitimate users and access systems without direct infiltration. Recent high-profile incidents, including a 2024 breach of an AWS account tied to the European Commission that exposed 92GB of data, underscore the growing threat of cloud-based credential theft.
INCIDENT DETAILS -
TYPE
Data Breach
IMPACT
Data Compromised: API keys used to access cloud-based AI modelsSystems Affected: AWS cloud accountOperational Impact: Customers advised to rotate API keys
DATA BREACH
Type Of Data Compromised: API keys, sensitive credentialsSensitivity Of Data: High (API keys for cloud-based AI models)
APRIL 2026
718Before Incident
MARCH 2026
737Before Incident
Cyber Attack
01 Mar 2026Amazon Science
Amazon: Amazon links North Korean hackers to major software attacks as generative AI makes dangerous malware increasingly difficult to detect everywhere

North Korean Hacking Group Linked to Multiple NPM Supply Chain Attacks

716After Incident
CRITICAL-21
AMA1785795839
North Korean Hacking Group Linked to Multiple NPM Supply Chain Attacks Amazon’s Threat Intelligence team has attributed a series of high-profile software supply chain compromises to a single North Korean threat actor, tracked under aliases including SAPPHIRE SLEET, STARDUST CHOLLIMA, BlueNoroff, CageyChameleon, and Alluring Pisces. Between March 2025 and March 2026, the group targeted widely used NPM packages, including axios, debug, chalk, and typo-crypto, by socially engineering trusted maintainers to distribute trojanized updates. The axios package alone sees over 100 million weekly downloads, making it one of the most critical JavaScript libraries in use. Organizations that automatically pulled these updates unknowingly executed the malicious code. During the debug and chalk compromise in September 2025, Wiz Research found that 1 in 10 cloud environments were affected within two hours. Amazon assesses the attacks as financially motivated, leveraging the efficiency of breaching a few high-impact packages to infiltrate thousands of downstream systems. The group has evolved its tactics, shifting from single malicious packages to fragmented workflows spread across multiple seemingly benign dependencies. Attackers now exploit generative AI to craft convincing code, documentation, and maintainer identities, making detection harder. Techniques include slopsquatting registering package names hallucinated by AI coding assistants and embedding hidden instructions in comments or README files to bypass automated AI reviewers. Amazon warns that traditional signature-based detection is becoming less effective, as attackers mutate code to evade static analysis. The company has expanded its Amazon Inspector capabilities and contributed $12.5 million to the Linux Foundation’s Akrites initiative to bolster open-source security against AI-driven threats. The shift toward AI-generated malware suggests future ransomware campaigns may adopt similar techniques.
INCIDENT DETAILS -
TYPE
Supply Chain Attack
MOTIVATION
Financial
IMPACT
Systems Affected: Thousands of downstream systemsOperational Impact: Infiltration of cloud environments and downstream systems
FEBRUARY 2026
737Before Incident
JANUARY 2026
737Before Incident
DECEMBER 2025
736Before Incident
NOVEMBER 2025
736Before Incident
OCTOBER 2025
735Before Incident
SEPTEMBER 2025
735Before Incident
MAY 2025
749Before Incident
Cyber Attack
01 May 2025Amazon Science
Cloudflare, Amazon Web Services and npm: Solidity Pro VS Code Extensions Steal Wallets, API Keys From Devs

Malicious VS Code Extensions Target Solidity and Ethereum Developers with Credential Theft

732After Incident
CRITICAL-17
AMACLONPM1786444537
Malicious VS Code Extensions Target Solidity and Ethereum Developers with Credential Theft Security firm Yeeth Security uncovered a campaign involving malicious Visual Studio Code (VS Code) extensions, disguised as "Solidity Pro", designed to steal sensitive credentials from Solidity and Ethereum developers. The extensions helper-beeps.solidity-pro and web3devtoolsx.solidity-pro harvested GitHub tokens, cloud credentials, wallet seeds, SSH keys, and other sensitive data, exfiltrating stolen information via a Telegram bot. While the extensions are no longer available on Open VSX, the web3devtoolsx/solidity-pro GitHub repository remains accessible. ### Evolution from Loader to Full Credential Stealer Early versions (1.0.0–2.4.x) functioned as loaders, fetching encrypted Python payloads from Cloudflare Workers. However, version 3.0.0 and later evolved into a full-fledged information stealer, expanding its capabilities to collect: - Source control tokens (GitHub `ghp_`, `github_pat_`; GitLab `glpat-`) - Cloud credentials (AWS keys, Cloudflare `cfat_` tokens, OpenAI API keys) - Wallet data (MetaMask, Phantom, Rabby, Coinbase, Trust, Keplr vaults; Bitcoin WIF/xprv keys) - SSH private keys, URL credentials, and 1Password MFA tokens ### Evasion Tactics and Delayed Activation To bypass detection, the extensions employed heavy obfuscation, splitting strings across immediately-invoked function expressions (IIFEs) and reassembling them at runtime. Operators also published clean intermediate versions to build trust before activating malicious behavior hours or days after installation, evading short-term sandboxing and casual review. ### Connection to WhiteCobra and Additional Threats Yeeth linked the campaign to the WhiteCobra cluster, previously associated with Lumma Stealer delivered via VS Code extensions. A related extension, ethdevtools.solidity-language-support, contained a delayed-activation clipboard stealer that swapped cryptocurrency addresses via `vscode.env.clipboard.writeText`. Beyond extensions, researchers identified the npm package `ascii-fetcher`, which concealed malicious code in its dependency `@jaymara/jsononifier`. This dependency executed hidden commands using `child_process.exec` with `windowsHide`, allowing silent execution during installation. ### Broader Attack Surface: VS Code Forks and Droppers Yeeth also reported ten additional rogue VS Code extensions delivering Windows BAT, JavaScript, and HTA droppers. One extension, DigitalBarberTrim.html-entity-codec, dropped a remote VSIX payload after enumerating installed VS Code forks (Cursor, Windsurf, Codium, Positron), tailoring attacks to the specific editor in use. ### Impact: Developer Authority and Supply Chain Risks The stolen credentials grant attackers direct access to repositories, cloud infrastructure, and cryptocurrency wallets, enabling both fund theft and supply-chain compromise. A single compromised developer machine could lead to wider organizational breaches, underscoring the need for provenance checks, allow-list management, and behavioral monitoring in extension supply chains. The campaign highlights persistent risks in developer-targeted attacks, where marketplace moderation alone is insufficient to prevent delayed-activation threats.
INCIDENT DETAILS -
TYPE
Credential Theft
MOTIVATION
Financial gain, supply-chain compromise
IMPACT
Data Compromised: GitHub tokens, cloud credentials, wallet seeds, SSH keys, URL credentials, 1Password MFA tokensSystems Affected: Developer machines, VS Code and its forks (Cursor, Windsurf, Codium, Positron)Operational Impact: Supply-chain compromise, unauthorized access to repositories and cloud infrastructureBrand Reputation Impact: Risk to developer trust in VS Code extensionsIdentity Theft Risk: High (PII and credentials stolen)Payment Information Risk: High (cryptocurrency wallet seeds and private keys stolen)
DATA BREACH
Source control tokensCloud credentialsWallet dataSSH private keysURL credentials1Password MFA tokensSensitivity Of Data: HighData Exfiltration: Telegram botPersonally Identifiable Information: GitHub tokens, wallet seeds, SSH keys

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