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 1033 results — High severityPraisonAI: RCE via ungated exec_module in agent config
CVE-2026-47398 OpenClaw: scope bypass enables full agent admin takeover
CVE-2026-35674 OpenClaw: auth bypass enables unauthorized agent approval
CVE-2026-35630 OpenClaw: auth bypass enables persistent device enrollment
CVE-2026-32905 Froxlor: symlink-following grants customer root SSH access
CVE-2026-41236 Froxlor: shell whitelist bypass grants host shell access
CVE-2026-41235 Linux kernel RDMA/mlx4: RCU race may crash ML training nodes
CVE-2026-46181 Linux mlx4 RDMA: resource leak on SRQ creation error
CVE-2026-46178 Linux mlx5 RDMA: use-after-free in SRQ init path
CVE-2026-46176 Kirby CMS: Stored XSS via javascript: URI scheme bypass
CVE-2026-45368 Langflow: DoS via uncontrolled resource consumption
CVE-2026-7528 Kirby CMS: stored XSS in list field enables session hijack
CVE-2026-44175 Kirby: unsafe reflection allows privilege escalation
CVE-2026-44174 NVIDIA Transformers4Rec: deserialization RCE
CVE-2026-24162 LiteLLM: privilege escalation to proxy_admin via /user/update
CVE-2026-47102 LiteLLM: RBAC bypass enables proxy admin escalation
CVE-2026-47101 mcp-server-kubernetes: auth bypass enables full cluster RCE
CVE-2026-46519 LMDeploy: hardcoded trust_remote_code enables RCE
CVE-2026-46517 SageMaker SDK: cleartext HMAC key enables model artifact RCE
CVE-2026-8596 lmdeploy: hardcoded trust_remote_code enables RCE
CVE-2026-46432 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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