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 565 results — Medium severity, Active exploitationnl-portal documenten-api: IDOR exposes citizen documents
CVE-2026-54683open-webui: Yjs auth bypass exposes all user notes
CVE-2026-54022open-webui: RAG ACL bypass exposes private KB chunks
CVE-2026-54019Open WebUI: BOLA exposes private knowledge base files
CVE-2026-54016Open WebUI: IDOR exposes private prompt history
CVE-2026-54015open-webui: path traversal exposes sibling dirs
CVE-2026-54014open-webui: cross-user file read via auth bypass
CVE-2026-54009open-webui: auth bypass allows cross-user calendar injection
CVE-2026-54006vLLM: heap address leak enables ASLR bypass
CVE-2026-54236stable-diffusion.cpp: OOB read crash via crafted .ckpt file
CVE-2026-47748Langflow: unauth file read via Shareable Playground
CVE-2026-48520Langflow: path traversal enables arbitrary file write
CVE-2026-42867Budibase: SSRF via VectorDB host exposes cloud metadata
CVE-2026-48148draw.io: stored XSS executes JS via crafted diagram file
CVE-2026-46642mcp-server-kubernetes: flag injection steals K8s tokens
CVE-2026-47250OpenAI Atlas: XSS enables browser history exfiltration
CVE-2026-11326Streamlit: weak hash enables cache integrity bypass
CVE-2026-10804MLflow: auth bypass exposes gateway secrets and keys
CVE-2026-3198hermes-agent: auth bypass exposes Anthropic API credentials
CVE-2026-10548PraisonAI: auth bypass allows workspace settings injection
CVE-2026-47411Frequently 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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