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 4331 resultsPraisonAI: SSRF bypass via loopback alias encodings
CVE-2026-47390PraisonAI: RCE via ungated exec_module in agent config
CVE-2026-47398BoxLite: sandbox timeout bypass enables DoS via SIGALRM
CVE-2026-47213PyCharm: stored XSS via Jupyter Markdown cells
CVE-2026-49384Shopper: auth bypass enables full checkout shutdown
CVE-2026-47745Shopper: RBAC bypass allows full admin takeover
CVE-2026-47744Shopper: authz bypass lets any user mutate product data
CVE-2026-47742CAPM3: cross-namespace auth bypass exposes K8s secrets
GHSA-rf84-wr5g-m3rpOpenClaw: scope bypass enables full agent admin takeover
CVE-2026-35674OpenClaw: SSRF bypass exposes private network access
CVE-2026-35673OpenClaw: auth bypass enables unauthorized agent approval
CVE-2026-35630OpenClaw: policy bypass enables unauthorized admin command execution
CVE-2026-34507OpenClaw: privilege escalation bypasses Slack plugin approval gate
CVE-2026-32906OpenClaw: auth bypass enables persistent device enrollment
CVE-2026-32905Froxlor: symlink-following grants customer root SSH access
CVE-2026-41236Froxlor: shell whitelist bypass grants host shell access
CVE-2026-41235local-deep-research: SSRF via URL parser differential bypass
CVE-2026-46526vllm: trust_remote_code bypass enables RCE via HuggingFace
CVE-2026-4944Linux Kernel: DMA coherency bug in xbox_remote driver
CVE-2026-46236Linux kernel RDMA/mlx4: RCU race may crash ML training nodes
CVE-2026-46181Frequently 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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