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 4307 resultsn8n: credential permission bypass via inline sub-workflows
CVE-2026-118642n8n: OData filter injection in Outlook/SharePoint nodes
CVE-2026-118641n8n: Chat Hub authz bypass lets chat users run tools
CVE-2026-118640Xibo CMS: missing authz on dataset CSV export leaks data
CVE-2026-50541WoowBot: missing authz lets subscribers drain AI API credits
CVE-2026-111372AMP for WP: stored XSS via headline shortcode attribute
CVE-2026-97019dd-trace: ReDoS in query string obfuscation causes DoS
CVE-2026-116693MLflow: scorer deserialization allows unauthenticated RCE
CVE-2026-116692MLflow: CrewAI autolog leaks LLM API keys to traces
CVE-2026-116691MLflow: path traversal exposes server files via prompts
CVE-2026-116690rustls: Debug on client session leaks TLS secrets
GHSA-c8m5-c952-6cm4rustls: Brotli cert decoder allows 1 GiB alloc DoS
GHSA-h2v8-394m-p7vvStrands Agents: symlink flaw enables file overwrite, session tampering
GHSA-3w55-933p-8pv5Strands Agents: world-readable session files in /tmp
GHSA-763v-5pjm-fx36LiteLLM: file read via vertex_ai_credentials alias
GHSA-g5ff-637f-6q2mLiteLLM: reflected XSS in SSO debug callback
GHSA-hhww-mrg2-969hSiYuan: MCP file tool leaks publish-share passwords
CVE-2026-60083MONAI: NaN/inf DICOM input causes DoS and corrupt inference
CVE-2026-48705ATXP Gemini CLI ext: command injection via MCP tools
CVE-2026-117560Mistral Vibe: RCE via git filter drivers in worktree
CVE-2026-116843Frequently 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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