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 983 results — Medium severity, no patchopenclaw-cn: broken privilege check on elevated senders
CVE-2026-19007openclaw-cn: auth bypass in bash exec approval gate
CVE-2026-19006Livebook: CSRF binds victim session to attacker
CVE-2026-66885InnoShop: path traversal in file manager deletes files
CVE-2026-18959Langflow: path traversal allows arbitrary file write
CVE-2026-7869Langflow: username path traversal enables data destruction
CVE-2026-7658Langflow: built-in component leaks server env vars
CVE-2026-10128Langflow: SSRF bypass exposes internal network/cloud data
CVE-2026-7657Langflow: path traversal via MCP leaks JWT secret
CVE-2026-7646Triton Inference Server: path traversal via MLflow plugin
CVE-2026-47487marimo: PEP-723 config injection steals API keys
CVE-2026-67618core-php-admin-panel: SQL injection via filter_col param
CVE-2026-18766Contest Gallery WP: broken auth leaks OpenAI prompts
CVE-2026-16056JupyterLab: 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-2026-10700Frequently 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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