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 827 results — has patchNuxt: NoScript XSS enables script execution in head
GHSA-m3q2-p4fw-w38m LiteLLM: auth bypass via Host header spoofing
CVE-2026-49468 n8n: credential exfiltration via SecurityScorecard SSRF node
CVE-2026-54304 n8n: MCP browser auth bypass allows full browser takeover
CVE-2026-54309 n8n: IDOR enables OAuth credential hijack in agent workflows
CVE-2026-54305 n8n: credential hijack via partial authorization bypass
CVE-2026-54307 n8n: decompression bomb DoS via public webhook
CVE-2026-54314 n8n: read-only users can trigger workflow execution via API
GHSA-h3jj-5f3v-3685 n8n: AST bypass leaks env vars in Python Task Runner
GHSA-jwm3-qcfw-c5pp n8n: stored XSS in Chat Trigger enables session hijack
CVE-2026-54302 n8n: reflected XSS in trigger nodes enables session hijack
CVE-2026-54303 n8n: prototype pollution renders instance non-functional
CVE-2026-54312 n8n: prototype pollution leaks cross-user workflow data
CVE-2026-54311 n8n: webhook prototype pollution enables confused deputy
CVE-2026-54306 n8n: XSS via CSP bypass steals user sessions
CVE-2026-54301 n8n: unauthed webhook bypass hijacks AI agent workflows
CVE-2026-54308 n8n: auth bypass lets read-only users execute workflows
GHSA-hv7x-3x78-gx53 n8n: MongoDB query injection overwrites arbitrary documents
CVE-2026-54313 n8n: SQL injection in Postgres nodes, CVSS 9.9
CVE-2026-54310 n8n: Git node path traversal bypasses file sandbox
CVE-2026-49465 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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