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 859 results — High severity, no patchMilvus: weak hash allows RBAC grantee impersonation
CVE-2026-10814 jupyter-server: CORS bypass enables arbitrary code execution
CVE-2026-6657 LibreChat: IDOR enables cross-user API key hijacking
CVE-2026-31942 PS4 BD-J: sandbox escape via malformed JAR file
CVE-2025-64390 jupyter-server: path traversal exposes sibling dir files
CVE-2026-5422 F5-TTS: path traversal enables arbitrary file write
CVE-2026-43624 AnomalyMatch: RCE via torch.load() unsafe deserialization
CVE-2026-38950 Poppler: PDF integer overflow enables heap RCE
CVE-2026-10118 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 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 Langflow: DoS via uncontrolled resource consumption
CVE-2026-7528 NVIDIA Transformers4Rec: deserialization RCE
CVE-2026-24162 LMDeploy: hardcoded trust_remote_code enables RCE
CVE-2026-46517 389-ds-base: LDAP DoS via unbounded control count
CVE-2026-9064 gnutls: DTLS packet-reorder bug DoS hits AI inference servers
CVE-2026-42009 Bert-VITS2: path traversal exposes ML training filesystem
CVE-2026-8756 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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