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 1382 results — Active exploitationPraisonAI: RCE via hardcoded approval_mode bypass
CVE-2026-56075 PraisonAI: tool approval bypass enables credential theft
CVE-2026-56074 Langflow: unauthenticated upload → DoS + path disclosure
CVE-2026-55450 open-webui: Yjs auth bypass exposes all user notes
CVE-2026-54022 open-webui: RAG ACL bypass exposes private KB chunks
CVE-2026-54019 open-webui: SSRF via redirect bypass in Playwright loader
CVE-2026-54018 open-webui: double-encoded path traversal in terminal proxy
CVE-2026-54017 picklescan: scanner bypass enables PyTorch RCE
CVE-2026-53875 picklescan: scanner bypass enables pickle RCE
CVE-2026-53874 picklescan: blocklist bypass allows arbitrary code exec
CVE-2026-53873 picklescan: arbitrary file read bypasses RCE blocklist
CVE-2026-53872 picklescan: blocklist bypass enables full RCE
CVE-2026-3490 picklescan: scanner bypass enables RCE via model files
CVE-2025-71325 picklescan: ctypes bypass enables full RCE via pickle files
CVE-2025-71323 PickleScan: pty.spawn bypass enables RCE in model scans
CVE-2025-71322 picklescan: blocklist bypass allows arbitrary file write/RCE
CVE-2025-71321 picklescan: deny-list bypass enables arbitrary RCE
CVE-2025-71320 Open WebUI: BOLA exposes private knowledge base files
CVE-2026-54016 Open WebUI: IDOR exposes private prompt history
CVE-2026-54015 open-webui: path traversal exposes sibling dirs
CVE-2026-54014 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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