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 395 results — Medium severity, Active exploitationPraisonAI: tool approval bypass enables credential theft
CVE-2026-56074 open-webui: Yjs auth bypass exposes all user notes
CVE-2026-54022 open-webui: RAG ACL bypass exposes private KB chunks
CVE-2026-54019 Open WebUI: BOLA exposes private knowledge base files
CVE-2026-54016 Open WebUI: IDOR exposes private prompt history
CVE-2026-54015 open-webui: path traversal exposes sibling dirs
CVE-2026-54014 open-webui: cross-user file read via auth bypass
CVE-2026-54009 open-webui: auth bypass allows cross-user calendar injection
CVE-2026-54006 vLLM: heap address leak enables ASLR bypass
CVE-2026-54236 stable-diffusion.cpp: OOB read crash via crafted .ckpt file
CVE-2026-47748 Langflow: unauth file read via Shareable Playground
CVE-2026-48520 Langflow: path traversal enables arbitrary file write
CVE-2026-42867 Budibase: SSRF via VectorDB host exposes cloud metadata
CVE-2026-48148 draw.io: stored XSS executes JS via crafted diagram file
CVE-2026-46642 mcp-server-kubernetes: flag injection steals K8s tokens
CVE-2026-47250 OpenAI Atlas: XSS enables browser history exfiltration
CVE-2026-11326 Streamlit: weak hash enables cache integrity bypass
CVE-2026-10804 MLflow: auth bypass exposes gateway secrets and keys
CVE-2026-3198 hermes-agent: auth bypass exposes Anthropic API credentials
CVE-2026-10548 PraisonAI: auth bypass allows workspace settings injection
CVE-2026-47411 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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