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 1579 results — no patcheLabFTW: IDOR exposes restricted resource titles
CVE-2026-28511 IBM WebSphere: RCE via JAX-WS deserialization (CVSS 9.0)
CVE-2026-9319 CodexBar: session cookie leak via HTTP redirect
CVE-2026-43625 F5-TTS: path traversal enables arbitrary file write
CVE-2026-43624 AnomalyMatch: RCE via torch.load() unsafe deserialization
CVE-2026-38950 Edimax BR-6478AC: RCE via command injection in Wi-Fi handler
CVE-2026-10166 Edimax BR-6478AC: RCE via rootAPmac command injection
CVE-2026-10127 BoxLite: sandbox timeout bypass enables DoS via SIGALRM
CVE-2026-47213 PyCharm: stored XSS via Jupyter Markdown cells
CVE-2026-49384 OpenClaw: scope bypass enables full agent admin takeover
CVE-2026-35674 OpenClaw: SSRF bypass exposes private network access
CVE-2026-35673 OpenClaw: auth bypass enables unauthorized agent approval
CVE-2026-35630 OpenClaw: policy bypass enables unauthorized admin command execution
CVE-2026-34507 OpenClaw: privilege escalation bypasses Slack plugin approval gate
CVE-2026-32906 OpenClaw: auth bypass enables persistent device enrollment
CVE-2026-32905 vllm: trust_remote_code bypass enables RCE via HuggingFace
CVE-2026-4944 Linux Kernel: DMA coherency bug in xbox_remote driver
CVE-2026-46236 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 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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