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 1346 results — Active exploitation, no patchtext-generation-webui: unauthenticated path traversal file read
CVE-2026-35485Claude Code: OS command injection, credential theft
CVE-2026-35022Claude Code CLI: shell injection enables RCE
CVE-2026-35021Claude Code CLI: OS command injection via TERMINAL env
CVE-2026-35020KubeAI: RCE via shell injection in Ollama startup probe
CVE-2026-34940Budibase: Unauthenticated RCE as root via webhook
CVE-2026-35216MLflow: auth bypass in job API enables unauthenticated RCE
CVE-2026-0545awesome-llm-apps MCP Agent: cross-session credential theft
CVE-2026-29872CrewAI: RCE via Docker fallback in CodeInterpreter
CVE-2026-2275libarchive: integer overflow in zisofs hits vllm containers
CVE-2026-5121OpenUI: hard-coded LiteLLM master key credential leak
CVE-2026-4993smolagents: code injection via incomplete sandbox fix
CVE-2026-4963MLflow: broken access control exposes experiment traces
CVE-2025-15381OpenClaw: path traversal in media parsing leaks secrets
CVE-2026-32846Wallos: SSRF allows internal network access
CVE-2026-33401langflow: security flaw enables exploitation
CVE-2026-33475AI component: IDOR enables unauthorized data access
CVE-2026-30886AI component: Input Validation flaw enables exploitation
CVE-2026-4538OpenClaw: approval gating bypass enables shell execution
CVE-2026-32023OpenClaw: allowlist bypass enables arbitrary file write
CVE-2026-32017Frequently 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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