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.

Sources

Each CVE is enriched with

CVSS severity
EPSS exploit probability
Exploitation confidence
AI-component classification
Compliance mappings

3,026

AI/ML CVEs Tracked

424

Critical

114

New This Week

In CISA KEV

Sort: Date CVSS EPSS KEV first Most exploited

Filter: All Critical High Medium KEV only Active exploitation Has patch No patch

Latest AI Security Threats

Showing 20 of 1051 results — Medium severity

Severity CVE ID Summary CVSS EPSS Package Date

MEDI CVE-2026-44615 Apache Zeppelin: path traversal escapes notebook root 6.5 0.5% — Jul 31 MEDI CVE-2026-10700 Langflow: IDOR in file API leaks cross-tenant data 6.5 0.4% Langflow OSS Jul 30 MEDI CVE-2026-16773 WPBot: unauth PII exfil via chat transcript flaw 5.3 0.3% WPBot – AI ChatBot for Live Support, Lead Generation, AI Services Jul 28 MEDI CVE-2026-16774 WPBot: unauthenticated email abuse via wp_mail() 5.3 0.2% WPBot – AI ChatBot for Live Support, Lead Generation, AI Services Jul 28 MEDI E CVE-2026-17458 openclaw-cn: unpatched SSRF in browser agent click API 6.3 0.2% — Jul 26 MEDI E CVE-2026-17457 openclaw-cn: scheme handler bypass exposes data 4.3 0.3% — Jul 26 MEDI E CVE-2026-66007 datasets: path traversal via file_name leaks local files 6.5 0.5% datasets Jul 24 MEDI E CVE-2026-66005 Jan: CORS misconfig exposes local LLM API to network 6.3 0.2% — Jul 24 MEDI CVE-2026-7007 Zephyr RTOS: ext2 mount DoS via crafted superblock 4.6 0.2% — Jul 24 MEDI E CVE-2026-65010 Datasets: symlink following enables arbitrary file write 6.6 0.1% datasets Jul 23 MEDI E CVE-2026-65920 Diffusers: path traversal via weight_map exposes files 4.3 0.3% diffusers Jul 23 MEDI GHSA-652q-gvq3-74qv n8n: SQL injection in Snowflake Execute Query node — — n8n Jul 22 MEDI GHSA-jqwr-vx3p-r266 n8n: SQL injection in Postgres Trigger node — — n8n Jul 22 MEDI GHSA-9cmh-xcqm-5hqr n8n: shared module cache poisoning breaks user isolation — — n8n Jul 22 MEDI GHSA-89vp-jrxv-24w8 JupyterLab: extension blocklist bypass via name mismatch — — jupyterlab Jul 22 MEDI GHSA-h5v5-8746-g7mm JupyterLab: plugin lock bypass via direct API access — — jupyterlab Jul 22 MEDI GHSA-pf2q-pxhf-hgmw n8n: path traversal in computer-use tool leaks files — — n8n Jul 22 MEDI GHSA-hx4h-vr3m-45vh n8n: prototype pollution in expression engine causes DoS — — n8n Jul 22 MEDI GHSA-vhf8-cg2h-cg3p n8n: MCP Client SSRF bypasses egress protection — — n8n Jul 22 MEDI E CVE-2026-65012 InvokeAI: unauthenticated directory enumeration flaw 5.3 0.3% invokeai Jul 22

Frequently 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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