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 1527 results — Medium severityOpenClaw: file URL spelling bypass leaks local files
CVE-2026-100547OpenClaw: voice race condition causes owner spoofing
CVE-2026-100546OpenClaw: policy bypass lets helper run blocked tools
CVE-2026-100545OpenClaw Feishu: disabled default account still used
CVE-2026-100540OpenClaw: tool policy bypass allows local file read
CVE-2026-100538OpenClaw: path traversal leaks host files via Telegram
CVE-2026-100536OpenClaw: Unicode path traversal reads files outside workspace
CVE-2026-100533OpenClaw: authorization scope widening in file transfer
CVE-2026-100529OpenClaw: credential leak to wrong endpoint on hot reload
CVE-2026-100528OpenClaw: pre-auth DoS in browser relay
CVE-2026-100527OpenClaw Discord: media policy bypass reads local files
CVE-2026-100526OpenClaw: missing scope check exposes Prometheus metrics
CVE-2026-100525OpenClaw Slack: authz fail-open exposes cross-channel files
CVE-2026-100531LangChain4j Agentic: unsafe deserialization via Jackson typing
CVE-2026-97869OpenClaw iOS: deep-link URL logging exposes bearer keys
CVE-2026-95815mcp-atlassian: incomplete SSRF fix allows blind redirect
CVE-2026-77249mcp-atlassian: XSS in OAuth setup callback server
CVE-2026-77272mcp-atlassian: world-readable OAuth token file exposure
CVE-2026-77268mcp-atlassian: arbitrary file read via upload_attachment
CVE-2026-77266mcp-atlassian: path traversal enables arbitrary file read
CVE-2026-77269Frequently 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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