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 943 results — High severity, Active exploitationopen-webui: auth bypass exposes all user chat histories
CVE-2026-45349open-webui: SSRF via OAuth picture claim leaks internal data
CVE-2026-45338open-webui: SSRF bypass exposes cloud IAM credentials
CVE-2026-45331Open WebUI: Stored XSS via webhook SVG profile image
CVE-2026-45314open-webui: stored XSS → JWT theft and admin takeover
CVE-2026-45315Open WebUI: XSS iframe allows auth token exfiltration
CVE-2026-45303open-webui: BOLA exposes all users' uploaded files
CVE-2026-45301Crabbox: IDOR lets viewers hijack Code/VNC/Egress
CVE-2026-8629Flowise: Mass Assignment enables cross-workspace takeover
CVE-2026-42863Flowise: mass assignment breaks tenant isolation
CVE-2026-42862Flowise: mass assignment breaks multi-tenant isolation
CVE-2026-42861claude-code-cache-fix: hook path injection → RCE
CVE-2026-45136nnU-Net: prompt injection hijacks CI/CD triage agent
CVE-2026-44246MLflow: path traversal allows unauthenticated file read
CVE-2026-2614MLflow: SSRF in webhook URL enables cloud credential theft
CVE-2026-2393Crabbox: coordinator auth bypass via forged admin claim
CVE-2026-45223BentoML: Dockerfile injection enables build-time RCE
CVE-2026-44346BentoML: unsanitized base_image allows Dockerfile RCE
CVE-2026-44345open-webui: IDOR exposes cross-user AI memory data
CVE-2026-44570Open WebUI: IDOR enables cross-user message tampering
CVE-2026-44569Frequently 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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