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 2876 results — no patchOpenClaw Slack: authz fail-open exposes cross-channel files
CVE-2026-100531LiteLLM: semantic cache tenant bypass leaks data
CVE-2026-89032LangChain4j Agentic: unsafe deserialization via Jackson typing
CVE-2026-97869AMP for WP: stored XSS via comment regex transform
CVE-2026-83591DBHub: readonly mode bypass enables writes and RCE
CVE-2026-61788TREK: SSRF via llm_base_url exposes cloud metadata
CVE-2026-77294rpm: command injection via %() in src.rpm filenames
CVE-2026-95521rpm: macro expansion in manifest enables local code execution
CVE-2026-95519MLflow: pickle deserialization RCE in statsmodels flavor
CVE-2026-96804MLflow: dspy flavor pickle control bypass enables RCE
CVE-2026-96775Microweber admin panel: unrestricted file upload to RCE
CVE-2026-5695OpenClaw iOS: deep-link URL logging exposes bearer keys
CVE-2026-95815GitHub Enterprise Server: SSRF to RCE in notebook viewer
CVE-2026-77987MCP Atlassian: world-readable OAuth token file exposure
CVE-2026-77256MCP Atlassian: missing auth exposes Jira/Confluence
CVE-2026-77254MCP 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-2026-94127MarketKing WP: missing authz exposes vendor financial pages
CVE-2026-93344x-ui: reflected XSS in admin panel menu highlighting
CVE-2026-79315Frequently 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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