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 395 results — Medium severity, Active exploitationOpen WebUI: admin system prompts exposed to all users
CVE-2026-45351 Open WebUI: blind SSRF via PDF export HTML injection
CVE-2026-45347 open-webui: IDOR allows unauthorized model modification
CVE-2026-45345 Open WebUI: API key restriction bypass via header swap
CVE-2026-45339 Open-WebUI: CSRF image URL leaks session cookies
CVE-2026-45317 open-webui: Stored XSS via Office file preview bypass
CVE-2026-45318 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 Videos sync PDF: stored XSS via unsanitized media fields
CVE-2022-50949 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 open-webui: auth bypass exposes private group channels
CVE-2026-44561 open-webui: private channel member list exposed to any user
CVE-2026-44559 open-webui: permission bypass exposes channels publicly
CVE-2026-44558 BentoML: symlink traversal exfiltrates host secrets at build
CVE-2026-40610 vLLM: speculative decoding DoS via penalty params
CVE-2026-44223 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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