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 1661 results — Active exploitationCodex CLI: git core.fsmonitor hook enables RCE
CVE-2026-19592 pdfme: XSS via unsanitized i18n labels in Designer
CVE-2026-82865 ash_cloak: encrypted field plaintext leaks into logs
CVE-2026-81322 SiYuan: stored XSS via malicious bazaar package names
CVE-2026-82653 browser-use web-ui: stores LLM API keys in cleartext
CVE-2026-82640 NextChat: proxy URL check bypass leaks OpenAI key
CVE-2026-82639 browser-use: arbitrary directory creation via paths
CVE-2026-82637 ash_paper_trail: sensitive fields leak in version logs
CVE-2026-75847 Langflow: auth'd RCE bypasses custom-component block
CVE-2026-19295 Langflow: authenticated RCE via unsafe code generation
CVE-2026-18729 Chainlit: IDOR lets users tamper with others' feedback
CVE-2026-82290 SD WebUI: cmd-flags endpoint leaks creds cleartext
CVE-2026-82288 Qwen-Agent: path traversal in doc parser leaks files
CVE-2026-82275 Qwen-Agent: unauth SSRF via document URL parser
CVE-2026-82268 Pimcore: DataObject field-name injection → RCE
CVE-2026-55634 9router: Host-header spoof bypasses auth, enables SSRF
CVE-2026-55641 Roo-Code: cleartext OAuth callback leaks auth tokens
CVE-2026-81836 crewai-tools: SQLi in NL2SQLTool allows DB compromise
CVE-2026-37009 crewai-tools: Path traversal in FileWriterTool enables RCE
CVE-2026-37007 LiteLLM: unauth SSTI in /prompts/test enables RCE
CVE-2026-37004 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.
Start 14-Day Free Trial