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 1961 results — Active exploitationOpen WebUI: encoded path traversal in terminal proxy
CVE-2026-59221Open WebUI: channel IDOR leaks tool-server API keys
CVE-2026-59222Open WebUI: IDOR leaks private channel/DM threads
CVE-2026-59215Open WebUI: cache leak exposes cross-user model lists
CVE-2026-59213Open WebUI: read-only users can inject files into RAG KBs
CVE-2026-59217Open WebUI: session hijack enables cross-user code exec
CVE-2026-59216Open WebUI: revoked JWTs bypass WebSocket auth
CVE-2026-59219Open WebUI: unauth Socket.IO bypass alters doc state
CVE-2026-59715Open WebUI: ReDoS in skill mentions blocks event loop
CVE-2026-59220Open WebUI: image-edit API bypasses admin permission gate
CVE-2026-59227pyload-ng: IPv6 SSRF bypass evades internal-IP guard
CVE-2026-48737Cline: missing Origin check on Hub enables RCE
CVE-2026-59723Serena: unauth dashboard API enables RCE via memory poisoning
CVE-2026-49471LiteLLM: MCP auth bypass via fabricated OAuth header
CVE-2026-59822Gradio: SSRF via file_fetch() leaks cloud IAM creds
CVE-2026-59806AVideo Meet: stored XSS via unescaped User-Agent
CVE-2026-60092Flowise: path traversal in vector store basePath
CVE-2026-56273OpenLLM: command injection via model repo name
CVE-2026-15035Foxit PDF: use-after-free in attachment panel via JS page deletion
CVE-2026-57252mem0: unauth config API leaks API keys + SSRF
CVE-2026-59706Frequently 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