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 1961 results — Active exploitationlocal-deep-research: SSRF via URL parser differential bypass
CVE-2026-46526vllm: trust_remote_code bypass enables RCE via HuggingFace
CVE-2026-4944langroid: Prompt-to-SQL injection enables RCE on DB host
CVE-2026-25879Gradio: cookie injection hijacks cross-Space sessions
CVE-2026-48545Langflow: DoS via uncontrolled resource consumption
CVE-2026-7528vllm: unauthenticated DoS in OpenAI-compatible serving path
CVE-2026-9540cline-mcp-memory-bank: path traversal in memory init
CVE-2026-9468Notebook Pro: DoS via oversized notebook name input
CVE-2018-25378MLflow: auth bypass on artifact uploads enables RCE
CVE-2026-2651Boxlite: read-only bypass enables host code execution
CVE-2026-46695LiteLLM: privilege escalation to proxy_admin via /user/update
CVE-2026-47102LiteLLM: RBAC bypass enables proxy admin escalation
CVE-2026-47101mcp-server-kubernetes: auth bypass enables full cluster RCE
CVE-2026-46519LMDeploy: hardcoded trust_remote_code enables RCE
CVE-2026-46517lmdeploy: hardcoded trust_remote_code enables RCE
CVE-2026-46432MLflow: missing authz exposes all model versions
CVE-2026-2734diffusers: TOCTOU race bypasses trust_remote_code, RCE
CVE-2026-458049router: unauthenticated RCE exposes LLM API keys
CVE-2026-46339MLflow: cross-origin bypass enables RCE via AI agent
CVE-2026-2611MLflow: insecure tmp dir perms enable model artifact RCE
CVE-2026-4137Frequently 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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