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 616 results — High severity, has patchopenclaw: trust boundary bypass enables prompt injection
GHSA-gfmx-pph7-g46xn8n-mcp: authenticated SSRF leaks cloud metadata
GHSA-4ggg-h7ph-26qrpraisonai: SSTI enables RCE via agent instructions
CVE-2026-39891PraisonAI: unauth A2U stream leaks all agent activity
CVE-2026-39889LiteLLM: auth bypass chain enables full privilege escalation
GHSA-69x8-hrgq-fjj8MONAI: pickle deserialization RCE in Auto3DSeg
GHSA-89gg-p5r5-q6r4openclaw: env var injection via workspace config
GHSA-vfw7-6rhc-6xxgPraisonAI: recipe registry path traversal file write
CVE-2026-39308PraisonAI: recipe path traversal allows arbitrary file write
CVE-2026-39306PraisonAI: Zip Slip enables arbitrary file write / RCE
CVE-2026-39307OpenClaw: PKCE verifier leak enables OAuth token theft
CVE-2026-34511mobile-mcp: intent injection enables device control via AI agent
CVE-2026-35394BentoML: malicious bento archive RCE via Jinja2 SSTI
CVE-2026-35044BentoML: cmd injection RCE on cloud build infra
CVE-2026-35043LiteLLM: auth bypass allows RCE and full takeover
CVE-2026-35029vLLM: audio downmix mismatch enables adversarial input
CVE-2026-34760onnx: TOCTOU symlink following enables arbitrary file write
GHSA-q56x-g2fj-4rj6praisonaiagents: SSRF leaks cloud IAM credentials
CVE-2026-34954PraisonAI: sandbox escape via shell=True blocklist bypass
CVE-2026-34955PraisonAI: SSRF via api_base steals cloud IAM credentials
CVE-2026-34936Frequently 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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