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 1245 results — has patchopenclaw: media download bypass exhausts disk storage
GHSA-4g5x-2jfc-xm98 openclaw: operator scope bypass in phone arm/disarm cmds
GHSA-h2v7-xc88-xx8c MLflow: auth bypass exposes model artifacts across experiments
CVE-2026-33866 MLflow: stored XSS via MLmodel YAML artifact upload
CVE-2026-33865 lollms: weak JWT secret allows admin takeover
CVE-2026-1114 HuggingFace Transformers: RCE via malicious checkpoint load
CVE-2026-1839 PraisonAI: path traversal exposes full filesystem via agent tools
CVE-2026-35615 PraisonAI: recipe registry path traversal file write
CVE-2026-39308 PraisonAI: recipe path traversal allows arbitrary file write
CVE-2026-39306 PraisonAI: path traversal enables arbitrary file write/RCE
CVE-2026-39305 PraisonAI: Zip Slip enables arbitrary file write / RCE
CVE-2026-39307 OpenClaw: script preflight bypass enables unsafe exec
CVE-2026-34425 kedro-datasets: path traversal enables arbitrary file write
CVE-2026-35492 OpenClaw: PKCE verifier leak enables OAuth token theft
CVE-2026-34511 mobile-mcp: intent injection enables device control via AI agent
CVE-2026-35394 BentoML: malicious bento archive RCE via Jinja2 SSTI
CVE-2026-35044 BentoML: cmd injection RCE on cloud build infra
CVE-2026-35043 LiteLLM: auth bypass via JWT cache key collision
CVE-2026-35030 LiteLLM: auth bypass allows RCE and full takeover
CVE-2026-35029 vLLM: OOM DoS via unbounded video frame decoding
CVE-2026-34755 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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