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 1581 results — no patchLinux mlx4 RDMA: resource leak on SRQ creation error
CVE-2026-46178 Linux mlx5 RDMA: use-after-free in SRQ init path
CVE-2026-46176 CTI Transmute: stored XSS in notification panel
CVE-2026-9806 Gradio: cookie injection hijacks cross-Space sessions
CVE-2026-48545 Langflow: DoS via uncontrolled resource consumption
CVE-2026-7528 Langflow: RCE via symlink traversal in archive extraction
CVE-2026-7524 Linux Kernel: DMA coherency flaw in igorplugusb driver
CVE-2026-46091 Linux 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 LMDeploy: hardcoded trust_remote_code enables RCE
CVE-2026-46517 389-ds-base: LDAP DoS via unbounded control count
CVE-2026-9064 @apify/actors-mcp-server: URL bypass → LLM prompt injection
CVE-2026-46341 guardrails-ai: malicious 0.10.1 enables host compromise
CVE-2026-45758 Mistral npm SDK: supply chain attack, no impact
GHSA-jgg6-4rpr-wfh7 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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