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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 844 results — Medium severityOpen-WebUI: CSRF image URL leaks session cookies
CVE-2026-45317 open-webui: Stored XSS via Office file preview bypass
CVE-2026-45318 open-webui: Stored SVG XSS enables admin JWT theft
CVE-2026-45299 mistune: CSS injection enables phishing UI overlay
CVE-2026-44899 mistune: XSS in TOC render via unescaped heading ID
CVE-2026-44898 local-deep-research: HTML injection enables SSRF via WeasyPrint
CVE-2026-43979 open-webui: auth bypass allows message tampering
CVE-2026-44571 PraisonAI: SQL/CQL injection in knowledge-store backends
CVE-2026-44337 mistune: XSS via unescaped heading id= attribute
CVE-2026-44897 mistune: math plugin XSS bypasses escape=True control
CVE-2026-44708 open-webui: XSS in pending overlay enables session hijack
CVE-2026-44568 n8n-MCP: credential logging exposes OAuth tokens in HTTP mode
CVE-2026-42282 open-webui: RAG auth bypass exposes private files
CVE-2026-44560 open-webui: auth bypass exposes private group channels
CVE-2026-44561 open-webui: auth bypass in collaborative doc editing
CVE-2026-44564 open-webui: auth bypass exposes restricted LLM models
CVE-2026-44563 open-webui: missing authz enables model hijacking
CVE-2026-44562 open-webui: private channel member list exposed to any user
CVE-2026-44559 open-webui: auth bypass exposes all knowledge base metadata
CVE-2026-44557 open-webui: permission bypass exposes channels publicly
CVE-2026-44558 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.
Start 14-Day Free Trial