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 1432 results — Active exploitationvllm: unauthenticated DoS in OpenAI-compatible serving path
CVE-2026-9540 cline-mcp-memory-bank: path traversal in memory init
CVE-2026-9468 Notebook Pro: DoS via oversized notebook name input
CVE-2018-25378 MLflow: auth bypass on artifact uploads enables RCE
CVE-2026-2651 Boxlite: read-only bypass enables host code execution
CVE-2026-46695 LiteLLM: 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-2026-46517 lmdeploy: hardcoded trust_remote_code enables RCE
CVE-2026-46432 MLflow: missing authz exposes all model versions
CVE-2026-2734 diffusers: TOCTOU race bypasses trust_remote_code, RCE
CVE-2026-45804 9router: unauthenticated RCE exposes LLM API keys
CVE-2026-46339 MLflow: cross-origin bypass enables RCE via AI agent
CVE-2026-2611 MLflow: insecure tmp dir perms enable model artifact RCE
CVE-2026-4137 ChromaDB: pre-auth RCE via trust_remote_code injection
CVE-2026-45829 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 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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