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 1431 results — has patchopen-webui: XSS in model descriptions steals session tokens
CVE-2026-44721n8n-mcp: path traversal + SSRF exposes n8n API keys
GHSA-8g7g-hmwm-6rv2n8n-MCP: SSRF allows internal network access via webhook tools
CVE-2026-44694BentoML: symlink traversal exfiltrates host secrets at build
CVE-2026-40610diffusers: trust_remote_code bypass enables silent RCE
CVE-2026-44513vm2: sandbox escape via nesting:true enables RCE
CVE-2026-44007diffusers: silent RCE via None.py trust_remote_code bypass
GHSA-j7w6-vpvq-j3gmAegra: cross-tenant IDOR hijacks user thread data
CVE-2026-44504@axonflow/openclaw: credential exposure via insecure file permissions
GHSA-cqmh-pcgr-q42fpraisonai: RCE via unpatched tool_override exec_module
CVE-2026-44334praisonaiagents: SSRF via URL parser confusion bypass
CVE-2026-44335GitPython: git config injection enables hook RCE
CVE-2026-44244vLLM: speculative decoding DoS via penalty params
CVE-2026-44223JupyterLab: one-click RCE via notebook HTML cell output
CVE-2026-42557mistune: ReDoS exposes Jupyter/AI services to DoS
CVE-2026-33079vLLM: token injection DoS via multimodal placeholders
CVE-2026-44222JupyterLab: Extension allow-list bypass enables privesc
CVE-2026-42266PPTAgent: eval injection enables RCE via LLM prompt injection
CVE-2026-42079openclaw: Model bypasses authz to persist unsafe config
GHSA-cwj3-vqpp-pmxrOpenClaw: RCE via malicious repo setup-api.js
GHSA-r39h-4c2p-3jxpFrequently 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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