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 297 results — Critical severity, no patchGPT-SoVITS: unauthenticated RCE via webui.py
CVE-2026-63766 ktransformers: unauth pickle RCE via ZMQ socket
CVE-2026-63767 Langflow: hard-coded credentials enable takeover
CVE-2026-13446 Langflow: path traversal writes arbitrary files
CVE-2026-8859 Langflow: DB manipulation escalates to superuser RCE
CVE-2026-8635 Langflow: webhook auth bypass enables unauth RCE
CVE-2026-8505 Langflow: unsandboxed exec() enables full RCE
CVE-2026-8481 Langflow: pickle deserialization RCE via disk cache (CVSS 9.9)
CVE-2026-8476 Langflow: unauthenticated RCE via public flow endpoint
CVE-2026-13448 Langflow: code injection bypasses ToolGuard, enables RCE
CVE-2026-9135 Langflow: unauth request grants superuser token
CVE-2026-9103 Langflow: token forgery + exec() chain to RCE
CVE-2026-9198 Langflow: unauth signup chains to RCE
CVE-2026-9202 AVideo: stored XSS in YPTSocket enables admin takeover
CVE-2026-54458 LiteLLM: RCE via unsanitized MCP server config
CVE-2026-30623 Flowise: hardcoded JWT secrets enable full auth bypass
CVE-2026-56271 PraisonAI: RCE via unsandboxed LLM code execution
CVE-2026-61447 PraisonAI: AICoder root RCE via unsanitized tool calls
CVE-2026-61445 PraisonAI: SQL/CQL injection via unvalidated vector dim
CVE-2026-60090 mcp-server-kubernetes: arg injection exfils bearer token
CVE-2026-61459 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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