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 844 results — Medium severityPyCharm: stored XSS via Jupyter Markdown cells
CVE-2026-49384 Shopper: auth bypass enables full checkout shutdown
CVE-2026-47745 Shopper: authz bypass lets any user mutate product data
CVE-2026-47742 CAPM3: cross-namespace auth bypass exposes K8s secrets
GHSA-rf84-wr5g-m3rp OpenClaw: SSRF bypass exposes private network access
CVE-2026-35673 OpenClaw: policy bypass enables unauthorized admin command execution
CVE-2026-34507 OpenClaw: privilege escalation bypasses Slack plugin approval gate
CVE-2026-32906 nono-cli: sandbox escape via Unix socket bypass
CVE-2026-47128 local-deep-research: SSRF via URL parser differential bypass
CVE-2026-46526 Linux Kernel: DMA coherency bug in xbox_remote driver
CVE-2026-46236 Kirby CMS: auth bypass leaks admin emails via content lock
CVE-2026-45334 Gradio: cookie injection hijacks cross-Space sessions
CVE-2026-48545 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 Kirby CMS: auth bypass exposes restricted page drafts
CVE-2026-44176 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 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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