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
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Latest AI Security Threats
Showing 20 of 4331 resultsLangflow: unauthenticated upload → DoS + path disclosure
CVE-2026-55450langchain4j: SQL injection in vector store filters
CVE-2026-55405open-webui: Yjs auth bypass exposes all user notes
CVE-2026-54022open-webui: auth bypass reaches restricted Ollama backends
CVE-2026-54021open-webui: RAG ACL bypass exposes private KB chunks
CVE-2026-54019open-webui: SSRF via redirect bypass in Playwright loader
CVE-2026-54018open-webui: double-encoded path traversal in terminal proxy
CVE-2026-54017picklescan: scanner bypass enables PyTorch RCE
CVE-2026-53875picklescan: scanner bypass enables pickle RCE
CVE-2026-53874picklescan: blocklist bypass allows arbitrary code exec
CVE-2026-53873picklescan: arbitrary file read bypasses RCE blocklist
CVE-2026-53872picklescan: blocklist bypass enables full RCE
CVE-2026-3490picklescan: scanner bypass enables RCE via model files
CVE-2025-71325picklescan: ctypes bypass enables full RCE via pickle files
CVE-2025-71323PickleScan: pty.spawn bypass enables RCE in model scans
CVE-2025-71322picklescan: blocklist bypass allows arbitrary file write/RCE
CVE-2025-71321picklescan: deny-list bypass enables arbitrary RCE
CVE-2025-71320Open WebUI: BOLA exposes private knowledge base files
CVE-2026-54016Open WebUI: IDOR exposes private prompt history
CVE-2026-54015open-webui: path traversal exposes sibling dirs
CVE-2026-54014Frequently 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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