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 943 results — High severity, Active exploitationFlowise: auth bypass leaks private chatflow files
CVE-2026-71962Flowise: SSRF bypass exposes cloud metadata credentials
CVE-2026-67620Flowise: auth bypass triggers unauthorized OAuth refresh
CVE-2026-70636Flowise: broken authz lets viewers poison RAG stores
CVE-2026-67621Milvus: unauthenticated DoS via /management/stop
CVE-2026-69111Livebook: path traversal in notebooks writes any file
CVE-2026-66881PraisonAI: SSRF bypass in web_crawl via TOCTOU/rebinding
CVE-2026-55524PraisonAI: SSRF via redirect bypass in web_crawl()
CVE-2026-55523PraisonAI: RCE via workflow include bypasses safe loader
CVE-2026-55522Mistral Vibe: RCE via malicious git fsmonitor hook
CVE-2026-67623Open WebUI: KaTeX fallback XSS steals admin session
CVE-2026-70492Open WebUI: iframe sandbox bypass = account takeover
CVE-2026-70486Open WebUI: NAT64 IPv6 trick bypasses SSRF filter, leaks metadata
CVE-2026-70485Open WebUI: OAuth token exchange enables takeover
CVE-2026-70482Open WebUI: Playwright SSRF leaks cloud metadata
CVE-2026-70479Flowise: missing workspace auth in OAuth2 credential routes
CVE-2026-70474Flowise: broken auth exposes cross-tenant OpenAI keys
CVE-2026-70472Flowise: broken authz allows cross-type flow deletion
CVE-2026-69262Flowise: unauth overrideConfig injects flow session state
CVE-2026-69258cryptography: exponential DoS in cert chain validation
CVE-2026-69249Frequently 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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