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 1382 results — Active exploitationLangflow: missing auth on build API leaks data, enables DoS
CVE-2026-10560 LLaMA-Factory: RCE via malicious model path
CVE-2026-58116 NLTK: path traversal enables arbitrary file read
CVE-2026-12243 Pinpoint: insecure JWT cookie enables session hijacking
CVE-2026-57948 Edimax router: OS command injection via web form
CVE-2026-13581 Edimax EW-7478APC: unauth OS command injection
CVE-2026-13561 MLflow: missing authz in label schema CRUD API
CVE-2026-13484 Flowise: NODE_OPTIONS denylist bypass allows RCE
CVE-2026-58057 Mattermost: OpenAI API key leaks into logs on auth errors
CVE-2026-9699 ZAP: insecure deserialization RCE via ViewState add-on
CVE-2026-57527 nbconvert: stored XSS via unescaped Mermaid diagrams
CVE-2026-6658 picklescan: scanner bypass enables RCE via pickle supply chain
CVE-2025-71340 Flowise: unauthenticated file write enables RCE
CVE-2025-71338 Flowise: unauthenticated RCE via Custom MCP endpoint
CVE-2025-71336 Flowise: password change fails to revoke sessions
CVE-2025-71335 Flowise: path traversal → RCE via missing UUID validation
CVE-2025-71334 Flowise: unauth file upload + path traversal enables RCE
CVE-2025-71333 Flowise: unverified password change enables account takeover
CVE-2025-71328 Flowise: auth bypass grants full API access
CVE-2025-71327 Flowise: path traversal leaks database unauthenticated
CVE-2025-71324 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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