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 2346 results — no patchPicklescan: NumPy gadget bypass enables pickle RCE
CVE-2025-71355 picklescan: RCE bypass via trace.Trace.runctx
CVE-2025-71352 picklescan: scanner bypass enables pickle RCE
CVE-2025-71350 picklescan: bypass allows undetected pickle RCE
CVE-2025-71349 n8n: AST validator bypass leaks env vars in Python node
CVE-2026-56777 Open WebUI: SSRF in web retrieval hits internal services
CVE-2026-56399 n8n: stored XSS in Chat Trigger Custom CSS field
CVE-2026-56356 n8n: authenticated users can disable SSO enforcement via API
CVE-2026-56350 Flowise: hardcoded default secret enables session forgery
CVE-2026-56278 Flowise: wildcard CORS on TTS endpoint abuses creds
CVE-2026-56277 Langflow: weak reversible KDF exposes all stored credentials
CVE-2026-7874 Langflow: authenticated RCE enables credential theft
CVE-2026-7873 Langflow: Redis-access deserialization enables full RCE
CVE-2026-7871 Langflow: malformed flow nodes enable RCE
CVE-2026-7803 Langflow: auth bypass in MCP transport exposes projects
CVE-2026-7663 Langflow: SSRF via RSS/SearXNG exposes cloud IAM creds
CVE-2026-10564 Langflow: missing auth on build API leaks data, enables DoS
CVE-2026-10560 Langflow: SSRF via DNS rebinding in URL component
CVE-2026-10546 Langflow: cross-tenant API credential leak via cache bug
CVE-2026-10140 Langflow: unauthenticated RCE via tool_code injection
CVE-2026-10134 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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