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 2356 results — no patchLinux Kernel KVM: nSVM VMEXIT host state corruption
CVE-2026-46032 Linux mlx5: RDMA hang DoS on AI training clusters
CVE-2026-45973 Linux mlx5e: deadlock DoS in Mellanox NIC recovery paths
CVE-2026-45907 IBM Db2 APM: DoS via query special element injection
CVE-2026-3676 NVIDIA Transformers4Rec: deserialization RCE
CVE-2026-24162 vllm: unauthenticated DoS in OpenAI-compatible serving path
CVE-2026-9540 cline-mcp-memory-bank: path traversal in memory init
CVE-2026-9468 Notebook Pro: DoS via oversized notebook name input
CVE-2018-25378 MLflow: auth bypass on artifact uploads enables RCE
CVE-2026-2651 389-ds-base: LDAP DoS via unbounded control count
CVE-2026-9064 guardrails-ai: malicious 0.10.1 enables host compromise
CVE-2026-45758 Mistral npm SDK: supply chain attack, no impact
GHSA-jgg6-4rpr-wfh7 mistralai 2.4.6: supply chain dropper executes on import
GHSA-wx9m-wx4f-4cmg ChromaDB: pre-auth RCE via trust_remote_code injection
CVE-2026-45829 gnutls: DTLS packet-reorder bug DoS hits AI inference servers
CVE-2026-42009 Bert-VITS2: path traversal exposes ML training filesystem
CVE-2026-8756 Crabbox: env-var allowlist leaks secrets to remote exec
CVE-2026-8634 Crabbox: IDOR lets viewers hijack Code/VNC/Egress
CVE-2026-8629 Crabbox: header spoofing bypasses lease auth
CVE-2026-8621 nnU-Net: prompt injection hijacks CI/CD triage agent
CVE-2026-44246 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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