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 1033 results — High severityBudibase: account hijack via chat identity CSRF
CVE-2026-50132 picklescan: scanner bypass enables RCE via pickle
CVE-2025-71358 picklescan: scanner bypass enables undetected pickle RCE
CVE-2025-71344 picklescan: scanner bypass enables arbitrary code execution
CVE-2025-71339 Filament: stored XSS in disabled RichEditor field
CVE-2026-55409 Filament: MFA race condition enables recovery code reuse
CVE-2026-48505 Flowise: cross-workspace chatflow config disclosure
CVE-2026-56268 WebSphere AS: JAX-WS auth bypass, unauthorized access
CVE-2026-10845 Chainlit: session hijacking via WebSocket restoration
CVE-2026-56104 Grafana: stored XSS in geomap bypasses CVE-2023-0507 fix
CVE-2026-9029 picklescan: detection bypass enables RCE via pickle files
CVE-2025-71378 picklescan: detection bypass enables RCE via malicious models
CVE-2025-71357 picklescan: scanner bypass enables RCE via pickle files
CVE-2025-71351 picklescan: scanner bypass enables supply chain RCE
CVE-2025-71348 litellm: auth bypass in SSO debug exposes LLM proxy
CVE-2026-12795 litellm: auth bypass in MCP proxy, no credentials required
CVE-2026-12773 litellm: JWT auth bypass in M2M proxy handler
CVE-2026-12771 litellm: auth bypass in Admin Key Handler endpoint
CVE-2026-12770 vLLM: sparse tensor DoS/memory corruption via embeddings
CVE-2026-56340 Gogs: XSS via outdated Jupyter renderer, account takeover
GHSA-6vxv-wg6j-5qwp 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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