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 104 results — Medium severity, Active exploitation, has patchViewComponent: stale context leaks admin UI cross-user
CVE-2026-54497 Open WebUI: channel IDOR leaks tool-server API keys
CVE-2026-59222 Open WebUI: read-only users can inject files into RAG KBs
CVE-2026-59217 Open WebUI: ReDoS in skill mentions blocks event loop
CVE-2026-59220 Open WebUI: image-edit API bypasses admin permission gate
CVE-2026-59227 onnx: crafted model triggers SIGSEGV in version_converter
CVE-2026-44512 Coder: CORS bypass via workspace subdomain proxy
CVE-2026-55438 vLLM: audio upload OOMs process before size check
CVE-2026-55646 Keras: incomplete fix reopens HDF5 arbitrary file read
CVE-2026-12480 Gogs: XSS via data URI in ipynb sanitizer endpoint
CVE-2026-52816 Keras: path traversal via layer names allows arbitrary file write
CVE-2026-12479 Langflow: logout fails to clear session tokens
CVE-2026-55423 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: 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 open-webui: cross-user file read via auth bypass
CVE-2026-54009 open-webui: auth bypass allows cross-user calendar injection
CVE-2026-54006 vLLM: heap address leak enables ASLR bypass
CVE-2026-54236 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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