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
New This Week
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Latest AI Security Threats
Showing 20 of 1346 results — Active exploitation, no patchMCP Atlassian: DNS rebinding bypasses SSRF protection
CVE-2026-77242MCP Atlassian: filter bypass exposes Jira/Confluence data
CVE-2026-77252F5 BIG-IP APM: unauthenticated RCE via OAuth server
CVE-2026-94127CKAN MCP Server: DNS-based SSRF reaches cloud metadata
CVE-2026-61612Joplin Server: pending share invite allows item injection
CVE-2026-59815Joplin Server: stored XSS via SVG share, session abuse
CVE-2026-59814Joplin: 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-2026-55179Joplin: path traversal in sync allows arbitrary file write
CVE-2026-49453Joplin Desktop: update signature check skipped on Windows
CVE-2026-49450Joplin: KaTeX \href bypass leaks NTLMv2 hash on Windows
CVE-2026-49449Joplin Server: SSO code brute force yields session takeover
CVE-2026-46649Aureus ERP: stored XSS in Chatter change log
CVE-2026-94387OpenClaw: unbounded file read enables canvas host DoS
CVE-2026-94094Mistral Vibe: RCE via git hooks run before trust check
CVE-2026-93993SiYuan: stored XSS in heading style enables Electron RCE
CVE-2026-93923SiYuan: stored XSS in notebook names enables RCE
CVE-2026-93922Suricata: NULL deref crash via malformed dataset JSON
CVE-2026-57225vLLM: negative token ID crashes embeddings engine
CVE-2026-93592Frequently 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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