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 3021 resultsFlowise: mass assignment cross-workspace takeover
CVE-2026-46479 Flowise: mass-assignment allows cross-workspace data takeover
CVE-2026-46478 Flowise: mass-assignment cross-workspace dataset takeover
CVE-2026-46477 Flowise: mass assignment enables cross-workspace takeover
CVE-2026-46476 Flowise: mass-assignment enables workspace takeover
CVE-2026-46475 Flowise: missing authz on vector store CRUD ops
CVE-2026-46444 Flowise: stored credentials exposed via API filter bug
CVE-2026-46443 Flowise: sandbox escape enables authenticated RCE
CVE-2026-46442 Flowise: mass assignment breaks multi-tenant isolation
CVE-2026-46441 Flowise: plaintext auth brute-force, no rate limit
CVE-2026-46440 twig/twig: sandbox bypass leaks render context
CVE-2026-47732 skillctl: path traversal enables credential exfiltration
GHSA-wx3m-whqv-xv47 praisonai-platform: IDOR enables cross-workspace agent read/write/delete
CVE-2026-47419 mcp-server-kubernetes: flag injection steals K8s tokens
CVE-2026-47250 onnx-mlir: weak hash enables model cache poisoning
CVE-2026-11329 OpenAI Atlas: XSS enables browser history exfiltration
CVE-2026-11326 AVideo YPTSocket: Stored DOM XSS enables admin takeover
GHSA-8whc-2wmv-ww35 OpenMeter: SQL injection leaks all-tenant metering data
CVE-2026-8462 Milvus: weak hash allows RBAC grantee impersonation
CVE-2026-10814 LMCache: weak hash enables KV cache integrity bypass
CVE-2026-10813 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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