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 826 results — has patchn8n: prototype pollution in HTTP node enables RCE
CVE-2026-44789 Flowise: credential data leak via filtered API endpoint
GHSA-7g73-99r4-m4mj Flowise: auth RCE via NodeVM sandbox escape
GHSA-9rvc-vf7m-pgm2 Flowise: mass assignment breaks multi-tenant isolation
GHSA-hp26-q66v-q2w7 Flowise MCP: 3-path blocklist bypass enables server RCE
GHSA-m99r-2hxc-cp3q Flowise: brute-force auth grants full agent platform access
GHSA-php6-83fg-gw3g Flowise: Mass Assignment enables cross-workspace takeover
CVE-2026-42863 Flowise: mass assignment breaks tenant isolation
CVE-2026-42862 Flowise: mass assignment breaks multi-tenant isolation
CVE-2026-42861 claude-code-cache-fix: hook path injection → RCE
CVE-2026-45136 LangSmith: prompt deserialization enables SSRF + data leak
CVE-2026-45134 openclaude: sandbox bypass allows host-level RCE
CVE-2026-42074 MLflow: path traversal allows unauthenticated file read
CVE-2026-2614 local-deep-research: HTML injection enables SSRF via WeasyPrint
CVE-2026-43979 MLflow: SSRF in webhook URL enables cloud credential theft
CVE-2026-2393 BentoML: Dockerfile injection enables build-time RCE
CVE-2026-44346 BentoML: unsanitized base_image allows Dockerfile RCE
CVE-2026-44345 open-webui: IDOR exposes cross-user AI memory data
CVE-2026-44570 open-webui: auth bypass allows message tampering
CVE-2026-44571 Open WebUI: IDOR enables cross-user message tampering
CVE-2026-44569 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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