AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
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Latest AI Security Threats
Showing 20 of 497 results — Active exploitation, has patchNLTK: pickle allowlist bypass enables RCE
CVE-2026-79657 NLTK: SSRF bypass via proxy-handler downgrade
CVE-2026-78682 NLTK: dead sandbox check enables arbitrary file read
CVE-2026-65915 NLTK: symlink escape allows arbitrary file read
CVE-2026-70626 SiYuan: CookieKey leak enables session forgery
CVE-2026-72794 CodeWhale: repo config silently enables shell RCE
CVE-2026-75911 DeepSeek-TUI: git_blame argument injection leaks files
CVE-2026-75912 deepseek-tui: SSRF via DNS-pinning TOCTOU bypass
CVE-2026-75856 deepseek-tui: js_execution leaks parent secrets to LLM
CVE-2026-75915 CodeWhale: shell approval bypass via interactive tool
CVE-2026-75857 SiYuan: broken authz leaks DB schema & block IDs
CVE-2026-72800 SiYuan: auth bypass exposes private notebook content
CVE-2026-72805 SiYuan: WebSocket leak bypasses publish access control
CVE-2026-72810 SiYuan: missing authz leaks forbidden doc content via backlink API
CVE-2026-68586 SiYuan: missing authz exposes publish-disabled docs
CVE-2026-68587 unstructured: SSRF via url= param exposes internal APIs
CVE-2026-71428 Pimcore: DataObject field-name injection → RCE
CVE-2026-55634 9router: Host-header spoof bypasses auth, enables SSRF
CVE-2026-55641 LiteLLM: unauth SSTI in /prompts/test enables RCE
CVE-2026-37004 Chainlit: unauth RCE via MCP stdio cmd injection
CVE-2026-45018 Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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