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
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 1908 results — High severityNLTK tgrep ReDoS: single request hangs Python process
CVE-2026-80206NLTK: SSRF bypass via proxy-handler downgrade
CVE-2026-78682Craft CMS: authenticated RCE via Yii2 behavior injection
CVE-2026-86730libxml2: DTD double-free crashes Python SAX apps
CVE-2026-74860Pterodactyl Panel: subuser escalation to console RCE
CVE-2026-86177SiYuan: CookieKey leak enables session forgery
CVE-2026-72794CodeWhale: repo config silently enables shell RCE
CVE-2026-75911DeepSeek-TUI: git_blame argument injection leaks files
CVE-2026-75912deepseek-tui: SSRF via DNS-pinning TOCTOU bypass
CVE-2026-75856deepseek-tui: js_execution leaks parent secrets to LLM
CVE-2026-75915CodeWhale: shell approval bypass via interactive tool
CVE-2026-75857CodeWhale: arbitrary file read via instructions field
CVE-2026-75859CodeWhale: symlink traversal leaks files via vision API
CVE-2026-75914Langflow: IDOR leaks and poisons workflow history
CVE-2026-17627Langflow: chat attachment path traversal leaks server secrets
CVE-2026-19306Langflow: SSRF flaw exposes internal/cloud metadata
CVE-2026-19305Langflow: SSRF via URL parser bypass exposes internal services
CVE-2026-19304Langflow: path traversal enables arbitrary file deletion
CVE-2026-19303Langflow: leaky credential fields expose secrets
CVE-2026-19300Langflow: auth bypass in flow build enables RCE
CVE-2026-19298Frequently 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.
Start 14-Day Free Trial