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 249 results — Active exploitation, has patchOpen WebUI: API key restriction bypass via header swap
CVE-2026-45339 open-webui: SSRF via OAuth picture claim leaks internal data
CVE-2026-45338 open-webui: SSRF bypass exposes cloud IAM credentials
CVE-2026-45331 Open-WebUI: CSRF image URL leaks session cookies
CVE-2026-45317 open-webui: Stored XSS via Office file preview bypass
CVE-2026-45318 Open WebUI: read users can modify note pin state
CVE-2026-45316 Open WebUI: Stored XSS via webhook SVG profile image
CVE-2026-45314 open-webui: stored XSS → JWT theft and admin takeover
CVE-2026-45315 Open WebUI: XSS iframe allows auth token exfiltration
CVE-2026-45303 open-webui: BOLA exposes all users' uploaded files
CVE-2026-45301 mistune: CSS injection enables phishing UI overlay
CVE-2026-44899 mistune: XSS in TOC render via unescaped heading ID
CVE-2026-44898 Flowise: Mass Assignment enables cross-workspace takeover
CVE-2026-42863 Flowise: mass assignment breaks tenant isolation
CVE-2026-42862 Flowise: mass assignment breaks multi-tenant isolation
CVE-2026-42861 claude-code-cache-fix: hook path injection → RCE
CVE-2026-45136 openclaude: sandbox bypass allows host-level RCE
CVE-2026-42074 MLflow: path traversal allows unauthenticated file read
CVE-2026-2614 local-deep-research: HTML injection enables SSRF via WeasyPrint
CVE-2026-43979 MLflow: SSRF in webhook URL enables cloud credential theft
CVE-2026-2393 Frequently 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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