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 240 results — Critical severity, Active exploitationLangflow: missing auth on build API leaks data, enables DoS
CVE-2026-10560 Flowise: unauthenticated file write enables RCE
CVE-2025-71338 Flowise: unauthenticated RCE via Custom MCP endpoint
CVE-2025-71336 Flowise: path traversal → RCE via missing UUID validation
CVE-2025-71334 Flowise: unauth file upload + path traversal enables RCE
CVE-2025-71333 Flowise: auth bypass grants full API access
CVE-2025-71327 SiYuan: XSS→RCE via workspace sync in Electron app
CVE-2026-54158 picklescan: stdlib bypass enables arbitrary RCE
CVE-2026-56315 Flowise: RCE via MCP server command validation bypass
CVE-2026-56274 Budibase: zip symlink bypass exposes all server secrets
CVE-2026-54352 Langflow: TAR symlink traversal enables full RCE
CVE-2026-55447 Langflow: IDOR allows cross-user flow execution
CVE-2026-55255 Langflow: unauthenticated upload → DoS + path disclosure
CVE-2026-55450 picklescan: scanner bypass enables pickle RCE
CVE-2026-53874 picklescan: blocklist bypass allows arbitrary code exec
CVE-2026-53873 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 picklescan: blocklist bypass allows arbitrary file write/RCE
CVE-2025-71321 picklescan: deny-list bypass enables arbitrary RCE
CVE-2025-71320 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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