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 393 results — Medium severity, Active exploitationopenclaw-cn: unpatched SSRF in browser agent click API
CVE-2026-17458 openclaw-cn: scheme handler bypass exposes data
CVE-2026-17457 datasets: path traversal via file_name leaks local files
CVE-2026-66007 Jan: CORS misconfig exposes local LLM API to network
CVE-2026-66005 Datasets: symlink following enables arbitrary file write
CVE-2026-65010 Diffusers: path traversal via weight_map exposes files
CVE-2026-65920 InvokeAI: unauthenticated directory enumeration flaw
CVE-2026-65012 WPBot: missing auth check lets subscribers edit RAG config
CVE-2026-14185 ViewComponent: stale context leaks admin UI cross-user
CVE-2026-54497 PraisonAI: broken authz lets members hijack labels
CVE-2026-61440 PraisonAI: approval caching flaw enables file write abuse
CVE-2026-60087 jadx-gui: HTML injection in APK Summary tab leaks IP
CVE-2026-42447 HashNeRF: torch.load deserialization allows local RCE
CVE-2026-15531 n8n-workflow-builder: path traversal via filePath arg
CVE-2026-15521 PraisonAI: path traversal leaks files into LLM prompts
CVE-2026-60088 PraisonAI: IDOR lets members delete owner dependencies
CVE-2026-61441 PraisonAI: FastContext path traversal leaks host files
CVE-2026-61432 PraisonAI: path traversal leaks arbitrary files
CVE-2026-61431 PraisonAI: config.toml path traversal overwrites files
CVE-2026-60089 PraisonAI: injection filter bypass at HIGH threat level
CVE-2026-60086 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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