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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 1346 results — Active exploitation, no patchlitellm: session expiration bypass in proxy auth
CVE-2026-12772litellm: JWT auth bypass in M2M proxy handler
CVE-2026-12771litellm: auth bypass in Admin Key Handler endpoint
CVE-2026-12770vLLM: sparse tensor DoS/memory corruption via embeddings
CVE-2026-56340picklescan: FileHandler bypass creates filesystem artifacts
CVE-2026-56304Flowise: mass assignment enables credential hash override
CVE-2026-56276Flowise: PII exposure via unauthenticated password reset
CVE-2026-56267Flowise: XSS enables session hijacking in AI agent UI
CVE-2025-71331Stanza: pickle fallback bypass enables model RCE
CVE-2026-54499Mercator: SSRF enables internal network RCE via gopher://
CVE-2026-49345libaom: AV1 SVC OOB write enables RCE
CVE-2026-56211PraisonAI: path traversal → arbitrary file read/write/RCE
CVE-2026-56078PraisonAI: agent ID collision leaks system prompts
CVE-2026-56077PraisonAI: CORS bypass enables arbitrary agent execution
CVE-2026-56076PraisonAI: RCE via hardcoded approval_mode bypass
CVE-2026-56075PraisonAI: tool approval bypass enables credential theft
CVE-2026-56074picklescan: scanner bypass enables PyTorch RCE
CVE-2026-53875picklescan: scanner bypass enables pickle RCE
CVE-2026-53874picklescan: blocklist bypass allows arbitrary code exec
CVE-2026-53873picklescan: arbitrary file read bypasses RCE blocklist
CVE-2026-53872Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
Start 14-Day Free Trial