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 1042 results — High severity, no patchAccelerate: path traversal in checkpoint loading
CVE-2026-69112 Flowise: auth bypass leaks private chatflow files
CVE-2026-71962 OpenSignServer: missing authz forges document declines
CVE-2026-72692 Flowise: SSRF bypass exposes cloud metadata credentials
CVE-2026-67620 Plesk Obsidian: authenticated SQLi exposes panel DB
CVE-2026-64636 Flowise: auth bypass triggers unauthorized OAuth refresh
CVE-2026-70636 Flowise: broken authz lets viewers poison RAG stores
CVE-2026-67621 llama.cpp: UAF race in tokenize endpoints risks RCE
CVE-2026-43632 Apache CXF: JAX-RS form parameter flood enables DoS
CVE-2026-57819 Milvus: unauthenticated DoS via /management/stop
CVE-2026-69111 Livebook: auth fail-open grants full server access
CVE-2026-68746 Livebook: path traversal in notebooks writes any file
CVE-2026-66881 Livebook: sandboxed JS bypasses origin check, forces exec
CVE-2026-66298 Langflow: truncated-hash bypass enables RCE
CVE-2026-9201 Langflow: RCE via unapproved LLM-generated code execution
CVE-2026-9196 Langflow: authz bypass leaks cross-user chat history
CVE-2026-9130 Langflow: RCE via arbitrary code injection (CWE-94)
CVE-2026-8478 Langflow: path traversal exposes arbitrary files
CVE-2026-8183 Langflow: pre-auth RCE via chained HTTP requests
CVE-2026-8182 Langflow: authenticated code injection enables RCE
CVE-2026-17633 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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