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 314 results — Medium severity, Active exploitationPraisonAI: arbitrary file read via unguarded skill tool
CVE-2026-40117 PraisonAI: XSS via no-op HTML sanitizer in agent output
CVE-2026-40112 openai-realtime-ui: SSRF in API proxy endpoint
CVE-2026-5803 LobeChat: auth bypass via forged XOR obfuscated header
CVE-2026-39411 lollms: sessions persist after password reset
CVE-2026-1163 MLflow: auth bypass exposes model artifacts across experiments
CVE-2026-33866 MLflow: stored XSS via MLmodel YAML artifact upload
CVE-2026-33865 HuggingFace Transformers: RCE via malicious checkpoint load
CVE-2026-1839 ONNX: symlink traversal reads host files via model loading
CVE-2026-34447 smolagents: code injection via incomplete sandbox fix
CVE-2026-4963 open-webui: missing authz allows cross-KB file deletion
CVE-2026-29070 Open WebUI: path traversal leaks server filesystem path
CVE-2026-28786 Wallos: SSRF allows internal network access
CVE-2026-33401 AI component: IDOR enables unauthorized data access
CVE-2026-30886 gradio: Weak Credentials allow account compromise
CVE-2026-27167 ray: Missing Auth allows unauthenticated access
CVE-2026-27482 OpenClaw: path traversal enables arbitrary file read
CVE-2026-25475 llama-index-core: DoS causes service disruption
CVE-2025-6208 bentoml: Path Traversal enables file access
CVE-2026-24123 BetterDocs: Info Disclosure leaks sensitive data
CVE-2025-14980 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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