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 533 results — Critical severitypraisonai: silent auth bypass exposes agent exec endpoints
GHSA-j4hj-7hfh-g2f4PraisonAI: Unauthenticated RCE via Jobs API auth bypass
GHSA-4869-x4pr-q22xpraisonaiagents: unauthenticated MCP SSE server enables RCE
GHSA-x227-pf99-vffgLangflow: unauthenticated upload → DoS + path disclosure
CVE-2026-55450picklescan: scanner bypass enables pickle RCE
CVE-2026-53874picklescan: blocklist bypass allows arbitrary code exec
CVE-2026-53873picklescan: blocklist bypass enables full RCE
CVE-2026-3490picklescan: scanner bypass enables RCE via model files
CVE-2025-71325picklescan: ctypes bypass enables full RCE via pickle files
CVE-2025-71323picklescan: blocklist bypass allows arbitrary file write/RCE
CVE-2025-71321picklescan: deny-list bypass enables arbitrary RCE
CVE-2025-71320Oracle Coherence: unauthenticated HTTP full takeover
CVE-2026-35310Oracle Coherence: unauthenticated RCE via HTTP (CVSS 9.8)
CVE-2026-35309Oracle Coherence: unauthenticated RCE via third-party jars
CVE-2026-35308Oracle Coherence: unauthenticated RCE, CVSS 10.0
CVE-2026-35307Oracle Coherence: unauthenticated data access via HTTP
CVE-2026-35306Oracle Coherence: unauth data exfiltration via bundled libs
CVE-2026-35305Oracle Coherence: unauthenticated HTTPS takeover
CVE-2026-35304LiteLLM: auth bypass via Host header spoofing
CVE-2026-49468backpropagate: auth bypass exposes LLM training plane
CVE-2026-48797Frequently 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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