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 1553 results — no patchMercator: SSRF enables internal network RCE via gopher://
CVE-2026-49345 agentic-flow: MCP tool args enable OS command injection RCE
GHSA-vcv2-r9jh-99m5 line-desktop-mcp: unauthenticated HTTP exposes LINE chats
CVE-2026-49357 FFmpeg RASC: UAF in decoder crashes AI inference containers
CVE-2026-12706 pgAdmin 4: Stored XSS enables full browser session hijack
CVE-2026-12048 PraisonAI: path traversal → arbitrary file read/write/RCE
CVE-2026-56078 PraisonAI: agent ID collision leaks system prompts
CVE-2026-56077 PraisonAI: CORS bypass enables arbitrary agent execution
CVE-2026-56076 PraisonAI: RCE via hardcoded approval_mode bypass
CVE-2026-56075 PraisonAI: tool approval bypass enables credential theft
CVE-2026-56074 jupyter-server: stored XSS yields kernel RCE
CVE-2026-44727 PraisonAI: sandbox escape via silent Landlock fallback
GHSA-6jcq-6546-qrrw PraisonAI: workflow policy bypass enables shell RCE
GHSA-7qw2-w5rc-37x2 picklescan: scanner bypass enables PyTorch RCE
CVE-2026-53875 picklescan: scanner bypass enables pickle RCE
CVE-2026-53874 picklescan: blocklist bypass allows arbitrary code exec
CVE-2026-53873 picklescan: arbitrary file read bypasses RCE blocklist
CVE-2026-53872 picklescan: blocklist bypass enables full RCE
CVE-2026-3490 picklescan: scanner bypass enables RCE via model files
CVE-2025-71325 picklescan: ctypes bypass enables full RCE via pickle files
CVE-2025-71323 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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