AI Threat AlertAI 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 patchdeepseek-tui: js_execution leaks parent secrets to LLM
CVE-2026-75915CodeWhale: shell approval bypass via interactive tool
CVE-2026-75857CodeWhale: arbitrary file read via instructions field
CVE-2026-75859CodeWhale: symlink traversal leaks files via vision API
CVE-2026-75914SiYuan: broken authz leaks DB schema & block IDs
CVE-2026-72800SiYuan: auth bypass exposes private notebook content
CVE-2026-72805SiYuan: WebSocket leak bypasses publish access control
CVE-2026-72810SiYuan: broken auth on refreshBacklink enables DoS
CVE-2026-72812SiYuan: auth bypass leaks password-protected doc content
GHSA-7j72-f6wg-cxw6SiYuan: missing authz leaks forbidden doc content via backlink API
CVE-2026-68586SiYuan: missing authz exposes publish-disabled docs
CVE-2026-68587SiYuan: path traversal leaks attribute-view data
CVE-2026-69086OpenClaw Feishu: authz bypass skips account disablement
GHSA-w8wf-3qvj-6xqfOpenClaw Feishu: broken authz bypasses tool disable
GHSA-2q7j-2vhx-56g8unstructured: SSRF via url= param exposes internal APIs
CVE-2026-71428LiteLLM: param injection leaks provider API keys
CVE-2026-84377Siyuan: SQLi bypasses publish visibility control
CVE-2026-59834Filament: MFA prompt leaks valid password pre-authz check
CVE-2026-84307MLflow: statsmodels flavor bypasses pickle RCE guard
GHSA-gqvg-gmmx-x4hmKirby CMS: auth bypass enables chunk-upload DoS
CVE-2026-71415Frequently 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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