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 943 results — High severity, Active exploitationmcp-atlassian: arbitrary server file upload via path
CVE-2026-77247mcp-atlassian: path traversal enables arbitrary file read
CVE-2026-77262mcp-atlassian: arbitrary file read via attachment upload
CVE-2026-77259mcp-atlassian: arbitrary local file upload via path
CVE-2026-77257mcp-atlassian: arbitrary file read/exfil via attachments
CVE-2026-77255mcp-atlassian: path traversal enables arbitrary file exfiltration
CVE-2026-77253mcp-atlassian: unvalidated upload path leaks server files
CVE-2026-77246mcp-atlassian: unauth file read via upload_attachment
CVE-2026-77248MCP Atlassian: world-readable OAuth token file exposure
CVE-2026-77256MCP Atlassian: path traversal in upload_attachment
CVE-2026-77260MCP Atlassian: path traversal enables code execution
CVE-2026-77271MCP Atlassian: DNS rebinding bypasses SSRF protection
CVE-2026-77242MCP Atlassian: missing authz lets clients call hidden tools
CVE-2026-77243MCP Atlassian: project/space filter bypass exposes data
CVE-2026-77251MCP Atlassian: SSRF via header URLs bypasses prior fix
CVE-2026-77267MCP Atlassian: path traversal exposes server files
CVE-2026-77258mcp-atlassian: SSRF via backslash URL parsing confusion
CVE-2026-77274Joplin Server: stored XSS via SVG share, session abuse
CVE-2026-59814Joplin: path traversal in sync allows arbitrary file write
CVE-2026-49453Joplin Desktop: update signature check skipped on Windows
CVE-2026-49450Frequently 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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