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 1527 results — Medium severitySiYuan: metadata leak bypasses publish-access checks
CVE-2026-68585Keras: HDF5 ExternalLink flaw leaks local files on load
CVE-2026-9335JupyterLab: stored XSS via malicious extension metadata
CVE-2026-67338Pterodactyl Wings: config parser DoS exhausts memory
CVE-2026-52857pgAdmin: broken access control bypasses tool permissions
CVE-2026-17350Dynatrace MCP: Jinja injection creates persistent exfil
GHSA-xrmj-5g4g-8987Dynatrace MCP server: DQL injection bypasses read-tool caps
GHSA-pqh8-p93p-2rx7Apache Zeppelin: path traversal escapes notebook root
CVE-2026-44615Langflow: IDOR in file API leaks cross-tenant data
CVE-2026-10700Pydantic AI: UploadedFile refs leak cloud storage
CVE-2026-54249WPBot: unauth PII exfil via chat transcript flaw
CVE-2026-16773WPBot: unauthenticated email abuse via wp_mail()
CVE-2026-16774openclaw-cn: unpatched SSRF in browser agent click API
CVE-2026-17458openclaw-cn: scheme handler bypass exposes data
CVE-2026-17457datasets: path traversal via file_name leaks local files
CVE-2026-66007Jan: CORS misconfig exposes local LLM API to network
CVE-2026-66005BlenderMCP: path traversal enables arbitrary file write
CVE-2026-66004Zephyr RTOS: ext2 mount DoS via crafted superblock
CVE-2026-7007Datasets: symlink following enables arbitrary file write
CVE-2026-65010Diffusers: path traversal via weight_map exposes files
CVE-2026-65920Frequently 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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