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 565 results — Medium severity, Active exploitationKeras: path traversal via layer names allows arbitrary file write
CVE-2026-12479Langflow: code injection via Bundle URL Loader (PoC)
CVE-2026-12822Flowise: path traversal in S3 loader exposes documents
CVE-2026-12821Craft CMS: stored XSS hijacks admin panel sessions
CVE-2026-56393litellm: authorization bypass exposes user list
CVE-2026-12799litellm: SSRF in MCP OpenAPI spec loader endpoint
CVE-2026-12798litellm: auth bypass in banned keywords enterprise hook
CVE-2026-12797litellm: SSO session expiration allows auth persistence
CVE-2026-12796litellm: SSRF in MCP server exposes cloud metadata
CVE-2026-12774litellm: session expiration bypass in proxy auth
CVE-2026-12772picklescan: FileHandler bypass creates filesystem artifacts
CVE-2026-56304Flowise: mass assignment enables credential hash override
CVE-2026-56276Flowise: PII exposure via unauthenticated password reset
CVE-2026-56267Flowise: XSS enables session hijacking in AI agent UI
CVE-2025-71331Langflow: logout fails to clear session tokens
CVE-2026-55423Mercator: SSRF enables internal network RCE via gopher://
CVE-2026-49345tract-onnx: path traversal exposes arbitrary local files
CVE-2026-55832nl-portal: GraphQL SSRF exposes Objecten-API auth token
CVE-2026-55414PraisonAI: agent ID collision leaks system prompts
CVE-2026-56077PraisonAI: tool approval bypass enables credential theft
CVE-2026-56074Frequently 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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