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 565 results — Medium severity, Active exploitationOpenClaw: auth bypass exposes AI gateway model metadata
CVE-2026-35619OpenClaw: SSRF via web-fetch enables internal network pivot
CVE-2026-6011PraisonAI: arbitrary file read via unguarded skill tool
CVE-2026-40117PraisonAI: XSS via no-op HTML sanitizer in agent output
CVE-2026-40112libcap: TOCTOU race in cap_set_file() enables privesc
CVE-2026-4878openai-realtime-ui: SSRF in API proxy endpoint
CVE-2026-5803LobeChat: auth bypass via forged XOR obfuscated header
CVE-2026-39411lollms: sessions persist after password reset
CVE-2026-1163MLflow: auth bypass exposes model artifacts across experiments
CVE-2026-33866MLflow: stored XSS via MLmodel YAML artifact upload
CVE-2026-33865HuggingFace Transformers: RCE via malicious checkpoint load
CVE-2026-1839kedro-datasets: path traversal enables arbitrary file write
CVE-2026-35492ONNX: symlink traversal reads host files via model loading
CVE-2026-34447smolagents: code injection via incomplete sandbox fix
CVE-2026-4963open-webui: missing authz allows cross-KB file deletion
CVE-2026-29070Open WebUI: path traversal leaks server filesystem path
CVE-2026-28786Wallos: SSRF allows internal network access
CVE-2026-33401AI component: IDOR enables unauthorized data access
CVE-2026-30886OpenClaw: file:// bypass enables local file exfiltration
CVE-2026-32008gradio: Weak Credentials allow account compromise
CVE-2026-27167Frequently 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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