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 509 results — High severity, Active exploitationLiteLLM: privilege escalation to proxy_admin via /user/update
CVE-2026-47102 LiteLLM: RBAC bypass enables proxy admin escalation
CVE-2026-47101 mcp-server-kubernetes: auth bypass enables full cluster RCE
CVE-2026-46519 lmdeploy: hardcoded trust_remote_code enables RCE
CVE-2026-46432 MLflow: insecure tmp dir perms enable model artifact RCE
CVE-2026-4137 Bert-VITS2: path traversal exposes ML training filesystem
CVE-2026-8756 @budibase/server: SSRF in AI Extract bypasses IP blacklist
CVE-2026-45548 Microsoft APM: symlink attack leaks host files in agent deps
CVE-2026-45539 MLflow: auth bypass exposes Job API and trace injection
CVE-2026-2652 deepseek-tui: SSRF bypass leaks cloud IAM credentials
CVE-2026-45310 open-webui: code exec gate bypass via API endpoint
CVE-2026-45672 Open WebUI: auth bypass enables mass file deletion
CVE-2026-45671 open-webui: Stored XSS enables Super Admin session hijack
CVE-2026-45665 open-webui: auth bypass exposes any user's private files via RAG
CVE-2026-45402 open-webui: SSRF redirect bypass exposes internal services
CVE-2026-45401 open-webui: SSRF bypass via URL parser mismatch
CVE-2026-45400 Open WebUI: task auth bypass enables cross-user DoS
CVE-2026-45399 open-webui: IDOR exposes private RAG knowledge bases
CVE-2026-45398 open-webui: missing authz allows admin tool hijacking
CVE-2026-45350 open-webui: auth bypass exposes all user chat histories
CVE-2026-45349 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.
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