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 1527 results — Medium severityopen-webui: Stored XSS via Office file preview bypass
CVE-2026-45318open-webui: Stored SVG XSS enables admin JWT theft
CVE-2026-45299mistune: CSS injection enables phishing UI overlay
CVE-2026-44899mistune: XSS in TOC render via unescaped heading ID
CVE-2026-44898local-deep-research: HTML injection enables SSRF via WeasyPrint
CVE-2026-43979open-webui: auth bypass allows message tampering
CVE-2026-44571PraisonAI: SQL/CQL injection in knowledge-store backends
CVE-2026-44337Videos sync PDF: stored XSS via unsanitized media fields
CVE-2022-50949mistune: XSS via unescaped heading id= attribute
CVE-2026-44897mistune: math plugin XSS bypasses escape=True control
CVE-2026-44708open-webui: XSS in pending overlay enables session hijack
CVE-2026-44568n8n-MCP: credential logging exposes OAuth tokens in HTTP mode
CVE-2026-42282open-webui: RAG auth bypass exposes private files
CVE-2026-44560open-webui: auth bypass exposes private group channels
CVE-2026-44561open-webui: auth bypass in collaborative doc editing
CVE-2026-44564open-webui: auth bypass exposes restricted LLM models
CVE-2026-44563open-webui: missing authz enables model hijacking
CVE-2026-44562open-webui: private channel member list exposed to any user
CVE-2026-44559open-webui: auth bypass exposes all knowledge base metadata
CVE-2026-44557open-webui: permission bypass exposes channels publicly
CVE-2026-44558Frequently 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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