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
Critical
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Latest AI Security Threats
Showing 20 of 800 results — High severity, Active exploitationNLTK: SSRF bypass via proxy-handler downgrade
CVE-2026-78682 Pterodactyl Panel: subuser escalation to console RCE
CVE-2026-86177 SiYuan: CookieKey leak enables session forgery
CVE-2026-72794 CodeWhale: repo config silently enables shell RCE
CVE-2026-75911 DeepSeek-TUI: git_blame argument injection leaks files
CVE-2026-75912 deepseek-tui: SSRF via DNS-pinning TOCTOU bypass
CVE-2026-75856 deepseek-tui: js_execution leaks parent secrets to LLM
CVE-2026-75915 CodeWhale: shell approval bypass via interactive tool
CVE-2026-75857 LLaMA-Factory: SSRF guard bypass via redirect/DNS rebind
CVE-2026-85673 OGX/Llama Stack: SSRF via MCP tool server_url
CVE-2026-85666 SiYuan: WebSocket leak bypasses publish access control
CVE-2026-72810 SiYuan: missing authz leaks forbidden doc content via backlink API
CVE-2026-68586 SiYuan: missing authz exposes publish-disabled docs
CVE-2026-68587 Helicone: IDOR leaks cross-tenant LLM provider keys
CVE-2026-85178 Label Studio: org filter bypass leaks tenant storage
CVE-2026-85211 Label Studio: SSRF via webhooks hits cloud metadata
CVE-2026-85179 Codex CLI: git core.fsmonitor hook enables RCE
CVE-2026-19592 SiYuan: stored XSS via malicious bazaar package names
CVE-2026-82653 NextChat: proxy URL check bypass leaks OpenAI key
CVE-2026-82639 Langflow: authenticated RCE via unsafe code generation
CVE-2026-18729 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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