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 314 results — Medium severity, Active exploitationFlowise: XSS enables session hijacking in AI agent UI
CVE-2025-71331 stable-diffusion.cpp: OOB read crash via crafted .ckpt file
CVE-2026-47748 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 hermes-agent: auth bypass exposes Anthropic API credentials
CVE-2026-10548 Edimax BR-6478AC: RCE via command injection in Wi-Fi handler
CVE-2026-10166 Edimax BR-6478AC: RCE via rootAPmac command injection
CVE-2026-10127 BoxLite: sandbox timeout bypass enables DoS via SIGALRM
CVE-2026-47213 local-deep-research: SSRF via URL parser differential bypass
CVE-2026-46526 Gradio: cookie injection hijacks cross-Space sessions
CVE-2026-48545 vllm: unauthenticated DoS in OpenAI-compatible serving path
CVE-2026-9540 cline-mcp-memory-bank: path traversal in memory init
CVE-2026-9468 Notebook Pro: DoS via oversized notebook name input
CVE-2018-25378 MLflow: missing authz exposes all model versions
CVE-2026-2734 open-webui: unauth endpoint drains embedding budget/DoS
CVE-2026-45667 open-webui: IDOR exposes cross-user note data
CVE-2026-45666 Open WebUI: unauthenticated RAG config leaks AI pipeline
CVE-2026-45397 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.
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