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 366 results — Critical severity, no patchFlowise: unauthenticated file write enables RCE
CVE-2025-71338Flowise: unauthenticated RCE via Custom MCP endpoint
CVE-2025-71336Flowise: path traversal → RCE via missing UUID validation
CVE-2025-71334Flowise: unauth file upload + path traversal enables RCE
CVE-2025-71333Flowise: auth bypass grants full API access
CVE-2025-71327qrscp: DICOM path traversal enables arbitrary file write
CVE-2026-56445Gemini CLI: OS command injection enables pre-sandbox RCE
CVE-2026-12537picklescan: stdlib bypass enables arbitrary RCE
CVE-2026-56315Flowise: RCE via MCP server command validation bypass
CVE-2026-56274n8n: SSRF bypasses allowlist, exfiltrates credentials
CVE-2026-56348Langflow: auth bypass in MCP endpoint, CVSS 9.8
CVE-2026-7664Flowise: RCE and sandbox escape via overrideConfig
CVE-2024-58351pgAdmin 4: Stored XSS enables full browser session hijack
CVE-2026-12048jupyter-server: stored XSS yields kernel RCE
CVE-2026-44727picklescan: 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-2025-71321Frequently 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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