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 patchKirby CMS: Stored XSS via javascript: URI scheme bypass
CVE-2026-45368 Kirby CMS: auth bypass leaks admin emails via content lock
CVE-2026-45334 Kirby CMS: auth bypass exposes restricted page drafts
CVE-2026-44176 Kirby CMS: stored XSS in list field enables session hijack
CVE-2026-44175 Kirby: unsafe reflection allows privilege escalation
CVE-2026-44174 Boxlite: read-only bypass enables host code execution
CVE-2026-46695 pydantic-ai: SSRF bypass exposes cloud IAM credentials
CVE-2026-46678 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 SageMaker SDK: cleartext HMAC key enables model artifact RCE
CVE-2026-8596 lmdeploy: hardcoded trust_remote_code enables RCE
CVE-2026-46432 MLflow: missing authz exposes all model versions
CVE-2026-2734 Flowise: cross-workspace chatflow config disclosure
GHSA-c2c9-mfw7-p8hw Flowise: mass assignment bypasses password controls
GHSA-59fh-9f3p-7m39 Flowise: hardcoded CORS wildcard enables drive-by credential abuse
GHSA-m837-xvxr-vqwg diffusers: TOCTOU race bypasses trust_remote_code, RCE
CVE-2026-45804 9router: unauthenticated RCE exposes LLM API keys
CVE-2026-46339 n8n: SSRF bypasses credential domain restrictions
GHSA-3875-8gcx-7v46 n8n: path traversal bypasses file access restriction
GHSA-2vx9-7wpg-88jq 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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