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 565 results — Medium severity, Active exploitationMCP Atlassian: cleartext OAuth token file readable locally
CVE-2026-77250MCP Atlassian: DNS-rebinding SSRF exposes internal services
CVE-2026-77265MCP Atlassian: path traversal in attachment upload leaks files
CVE-2026-77270LightRAG: error messages leak paths and DB credentials
CVE-2026-85709CKAN MCP Server: DNS-based SSRF reaches cloud metadata
CVE-2026-61612Joplin Server: pending share invite allows item injection
CVE-2026-59815Joplin: XSS via unanchored URL regex in shared notes
CVE-2026-46650Joplin Server: path traversal in transcribe API leaks data
CVE-2026-59816Joplin Server: IDOR exposes other users' note content
CVE-2026-55179Aureus ERP: stored XSS in Chatter change log
CVE-2026-94387OpenClaw: unbounded file read enables canvas host DoS
CVE-2026-94094vLLM: request-selected video backend exhausts GPU memory
CVE-2026-69147WPBot: missing capability check exposes Claude API key
CVE-2026-87959Flowise: CI script injection leaks AWS and Docker creds
CVE-2026-91936vLLM: chat_template abuse causes resource exhaustion
CVE-2026-90878LobsterAI: SSRF in browser network config sync
CVE-2026-90818tract-nnef: integer overflow enables heap OOB read, crash
CVE-2026-55093MCP Atlassian: DNS rebinding SSRF reaches cloud metadata
CVE-2026-73497PraisonAI: SSE server auth bypass exposes config, events
CVE-2026-57128PraisonAI: sandbox bypass leaks agent internals
CVE-2026-57120Frequently 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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