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 1431 results — has patchSiYuan: missing authz leaks bookmark labels in publish mode
CVE-2026-73609vm2: node:sqlite sandbox escape allows native code RCE
CVE-2026-92938vm2: native code exec via crypto.setEngine sandbox escape
CVE-2026-92939JupyterLab: clipboard cell-paste trust bypass enables XSS
CVE-2026-102831langchain-nvidia: local file read via VLM image paths
GHSA-g28h-2cmm-rj9xDecepticon: ChatML token injection yields sandbox RCE
CVE-2026-617329router: DNS rebinding SSRF in image prefetch
CVE-2026-56676mcp-atlassian: incomplete SSRF fix allows blind redirect
CVE-2026-77249mcp-atlassian: arbitrary server file upload via path
CVE-2026-77247mcp-atlassian: XSS in OAuth setup callback server
CVE-2026-77272mcp-atlassian: path traversal enables arbitrary file read
CVE-2026-77262mcp-atlassian: world-readable OAuth token file exposure
CVE-2026-77268mcp-atlassian: arbitrary file read via attachment upload
CVE-2026-77259mcp-atlassian: arbitrary file read via upload_attachment
CVE-2026-77266mcp-atlassian: path traversal enables arbitrary file read
CVE-2026-77269mcp-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-2026-77248Frequently 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.
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