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 352 results — High severity, has patchopen-webui: SSRF redirect bypass exposes internal services
CVE-2026-45401 open-webui: SSRF bypass via URL parser mismatch
CVE-2026-45400 Open WebUI: task auth bypass enables cross-user DoS
CVE-2026-45399 open-webui: IDOR exposes private RAG knowledge bases
CVE-2026-45398 open-webui: missing authz allows admin tool hijacking
CVE-2026-45350 open-webui: auth bypass exposes all user chat histories
CVE-2026-45349 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: Stored XSS via webhook SVG profile image
CVE-2026-45314 open-webui: stored XSS → JWT theft and admin takeover
CVE-2026-45315 SageMaker: RCE via poisoned Triton model artifacts in S3
CVE-2026-8597 Open WebUI: XSS iframe allows auth token exfiltration
CVE-2026-45303 open-webui: BOLA exposes all users' uploaded files
CVE-2026-45301 Flowise: mass assignment enables cross-workspace IDOR
GHSA-wxrr-jp8m-qq7f Flowise: mass assignment breaks workspace isolation
GHSA-mq53-pc65-wjc4 Flowise: mass assignment breaks cross-workspace isolation
GHSA-7j65-65cr-6644 Flowise: mass assignment enables cross-workspace data takeover
GHSA-5h9v-837x-m97r Flowise: mass assignment breaks cross-workspace isolation
GHSA-728h-4mwj-f2p4 Flowise: IDOR via mass assignment breaks tenant isolation
GHSA-78pr-c5x5-jggc Flowise: missing authz on vector store CRUD endpoints
GHSA-hmg2-jjjx-jcp2 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?
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