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 668 results — High severity, Active exploitationRay: RCE via pickle/torch deserialization in WebDataset
CVE-2026-57516 picklescan: scanner bypass enables pickle RCE
CVE-2025-71374 picklescan: malicious pickle bypasses RCE scan
CVE-2025-71371 picklescan: scan bypass lets malicious pickles hit RCE
CVE-2025-71368 picklescan: scanner bypass enables pickle RCE
CVE-2025-71363 picklescan: RCE bypass via trace.Trace.runctx
CVE-2025-71352 picklescan: scanner bypass enables pickle RCE
CVE-2025-71350 picklescan: bypass allows undetected pickle RCE
CVE-2025-71349 LLaMA-Factory: RCE via malicious model path
CVE-2026-58116 MLflow: missing authz in label schema CRUD API
CVE-2026-13484 ZAP: insecure deserialization RCE via ViewState add-on
CVE-2026-57527 picklescan: scanner bypass enables RCE via pickle supply chain
CVE-2025-71340 Flowise: password change fails to revoke sessions
CVE-2025-71335 Flowise: unverified password change enables account takeover
CVE-2025-71328 Flowise: path traversal leaks database unauthenticated
CVE-2025-71324 Flowise: auth bypass exposes OAuth secrets in cleartext
CVE-2026-56270 picklescan: scanner bypass allows RCE via pickle load
CVE-2025-71361 picklescan: scanner bypass enables arbitrary code execution
CVE-2025-71354 @rtk-ai/rtk-rewrite: RCE via shell injection in exec tool
CVE-2026-55249 Gogs LFS: cross-tenant object disclosure via dedupe bypass
CVE-2026-52812 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?
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