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 1527 results — Medium severityShopper: auth bypass enables full checkout shutdown
CVE-2026-47745Shopper: authz bypass lets any user mutate product data
CVE-2026-47742CAPM3: cross-namespace auth bypass exposes K8s secrets
GHSA-rf84-wr5g-m3rpOpenClaw: SSRF bypass exposes private network access
CVE-2026-35673OpenClaw: policy bypass enables unauthorized admin command execution
CVE-2026-34507OpenClaw: privilege escalation bypasses Slack plugin approval gate
CVE-2026-32906local-deep-research: SSRF via URL parser differential bypass
CVE-2026-46526Linux Kernel: DMA coherency bug in xbox_remote driver
CVE-2026-46236Kirby CMS: auth bypass leaks admin emails via content lock
CVE-2026-45334Gradio: cookie injection hijacks cross-Space sessions
CVE-2026-48545Linux Kernel: DMA coherency flaw in igorplugusb driver
CVE-2026-46091Linux Kernel KVM: nSVM VMEXIT host state corruption
CVE-2026-46032Linux mlx5: RDMA hang DoS on AI training clusters
CVE-2026-45973Linux mlx5e: deadlock DoS in Mellanox NIC recovery paths
CVE-2026-45907IBM Db2 APM: DoS via query special element injection
CVE-2026-3676vllm: unauthenticated DoS in OpenAI-compatible serving path
CVE-2026-9540Spring AI: path traversal via LLM-chosen filenames
CVE-2026-41863cline-mcp-memory-bank: path traversal in memory init
CVE-2026-9468Notebook Pro: DoS via oversized notebook name input
CVE-2018-25378MLflow: missing authz exposes all model versions
CVE-2026-2734Frequently 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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