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
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Latest AI Security Threats
Showing 20 of 565 results — Medium severity, Active exploitationJoplin Server: reset-token reuse enables account takeover
CVE-2026-105785Joplin: CSS injection via jsoncanvas note rendering
CVE-2026-105784Langflow: missing flow ownership check exposes private flows
CVE-2026-105698SiYuan: info disclosure via getNotebookInfo endpoint
CVE-2026-103763SiYuan: missing authz leaks hidden notebook IDs
CVE-2026-103762OpenClaw Windows Node: SSRF via canvas.present bypass
CVE-2026-101883OpenClaw Windows Node: WebSocket memory exhaustion DoS
CVE-2026-101881OpenClaw Windows Node: missing authz allows silent camera/screen capture
CVE-2026-101879BaoTa aaPanel: SQL injection in domain status handler
CVE-2026-101011BaoTa Panel: SQL injection in log_type via getData
CVE-2026-101010Froxlor: CSRF on GET silently disables 2FA
CVE-2026-100712vLLM: revision pin bypass loads unpinned HF artifacts
CVE-2026-100653vLLM: prompt-length bypass on disagg endpoint causes DoS
CVE-2026-100651vLLM: unbounded media fetch enables pre-inference DoS
CVE-2026-100650Flowise: cross-workspace credential IDOR exposes API keys
CVE-2026-100609LangChain4j Agentic: unsafe deserialization via Jackson typing
CVE-2026-97869mcp-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-2026-77269MCP Atlassian: filter bypass exposes Jira/Confluence data
CVE-2026-77252Frequently 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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