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 4330 resultsOpenClaw: QQBot command bypasses config allowlist
GHSA-jvm4-4j77-39p6OpenClaw: TOCTOU race bypasses node approval scope
GHSA-83w9-h5wv-j9xmOpenClaw: exec approver can bypass plugin approval gate
GHSA-wv26-j37q-2g7pOpenClaw: memory-wiki ingest reads arbitrary local files
GHSA-p2fh-f5fc-44hrOpenClaw: chat.send routing bypasses admin auth scopes
GHSA-hw9r-h9mr-4jffOpenClaw: safe-bin bypass exposes node-local files
GHSA-mhq8-78pj-5j79OpenClaw: QQBot approval button auth bypass
GHSA-mgq6-vr84-7m2jOpenClaw: forged identity headers bypass proxy auth
GHSA-rggc-m335-3wvjOpenClaw: TOCTOU in shell wrapper bypasses command allowlist
GHSA-2j8v-hwgc-x698OpenClaw: exec denylist bypass in bundled MCP loopback
GHSA-qh2f-99mv-mrcfOpenClaw: truncated approval UI masks exec payload
GHSA-xww8-gqvh-92x9mcp-memory-service: auth bypass on document API
CVE-2026-50027PraisonAI: IDOR cross-tenant data pollution
CVE-2026-58653OpenAI Chatbot WP Helper: unauth content deletion
CVE-2025-69134MLflow: auth bypass allows cross-experiment trace access
CVE-2026-8147Craft CMS: entry section permission bypass
CVE-2026-50280OpenClaw: MCP SSE redirect leaks Authorization headers
GHSA-9c3v-684m-579cGradio: path traversal in FileExplorer leaks files
CVE-2026-49119auth-fetch-mcp: SSRF bypass via IPv6 loopback
CVE-2026-49857Ray: RCE via pickle/torch deserialization in WebDataset
CVE-2026-57516Frequently 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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