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 372 results — Active exploitation, has patchOpen WebUI: Stored XSS via Mermaid loose mode in preview
CVE-2026-54011 Open WebUI: IDOR allows cross-user file read and delete
CVE-2026-54010 open-webui: cross-user file read via auth bypass
CVE-2026-54009 open-webui: SSRF via OAuth picture redirect bypass
CVE-2026-54008 open-webui: cross-origin postMessage forces model execution
CVE-2026-54007 open-webui: auth bypass allows cross-user calendar injection
CVE-2026-54006 vLLM: heap address leak enables ASLR bypass
CVE-2026-54236 vllm: auth bypass exposes OpenAI inference API
CVE-2026-48746 Langflow: unauth file read via Shareable Playground
CVE-2026-48520 Langflow: unauthenticated RCE via Shareable Playground
CVE-2026-48519 Langflow: path traversal enables arbitrary file write
CVE-2026-42867 Langflow: IDOR exposes cross-user LLM data and deletion
CVE-2026-33760 NLTK: path traversal leaks arbitrary local files
CVE-2026-54293 Budibase: SSRF via VectorDB host exposes cloud metadata
CVE-2026-48148 Budibase: SSRF in OAuth2 exposes cloud credentials
CVE-2026-48146 Keras: path traversal allows arbitrary file write
CVE-2026-11816 praisonai-platform: IDOR enables cross-workspace agent read/write/delete
CVE-2026-47419 mcp-server-kubernetes: flag injection steals K8s tokens
CVE-2026-47250 Streamlit: weak hash enables cache integrity bypass
CVE-2026-10804 MLflow: weak dataset hash allows integrity bypass
CVE-2026-10803 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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