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 826 results — has patchopen-webui: path traversal enables file write/delete
CVE-2026-44565 open-webui: CORS misconfiguration enables 1-click RCE
GHSA-6xcp-7mpr-m7wm PraisonAI: tar symlink bypass allows arbitrary file write
CVE-2026-44340 praisonaiagents: tool bypass enables undeclared callable exec
CVE-2026-44339 PraisonAI: MCP path traversal escalates to full RCE
CVE-2026-44336 PraisonAI: SQL/CQL injection in knowledge-store backends
CVE-2026-44337 PraisonAI: unauthenticated API triggers agent workflows
CVE-2026-44338 mistune: XSS via unescaped heading id= attribute
CVE-2026-44897 LangChain: deserialization poisons LLM chat history
CVE-2026-44843 Open WebUI: path traversal + file upload leads to RCE
CVE-2026-44566 Open WebUI: auth bypass gives pending users full LLM access
CVE-2026-44567 open-webui: XSS via XLSX preview enables session hijack
CVE-2026-44549 open-webui: XSS in pending overlay enables session hijack
CVE-2026-44568 open-webui: RAG auth bypass exposes private files
CVE-2026-44560 open-webui: auth bypass exposes private group channels
CVE-2026-44561 open-webui: auth bypass in collaborative doc editing
CVE-2026-44564 open-webui: auth bypass exposes restricted LLM models
CVE-2026-44563 open-webui: missing authz enables model hijacking
CVE-2026-44562 open-webui: private channel member list exposed to any user
CVE-2026-44559 open-webui: auth bypass exposes all knowledge base metadata
CVE-2026-44557 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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