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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 1527 results — Medium severityMercury: stored XSS via unsanitized Markdown HTML
CVE-2026-111059fastllm: safetensors offset overflow enables memory corruption
CVE-2026-112107Llama-Chinese: code injection via adapter config loader
CVE-2026-112080YOLOv9: code injection via ONNX metadata names/stride
CVE-2026-111991A1111 WebUI: stored XSS via safetensors metadata hash
CVE-2026-111987stable-diffusion-webui: safetensors header DoS via memory
CVE-2026-111985libtirpc: unbounded PMAP reply decoding causes client DoS
CVE-2026-85977libtirpc: unbounded memory allocation causes RPC DoS
CVE-2026-85231kedro-datasets: path traversal allows arbitrary file write
CVE-2026-111170n8n: cross-project agent takeover via create endpoint
CVE-2026-110851n8n: prototype pollution in AI builder disrupts instance
CVE-2026-110848n8n: IDOR in agent chat resume exposes conversations
CVE-2026-110841FreeRDP: DVC DATA_FIRST memory exhaustion causes DoS
CVE-2026-110832ExLlamaV2: heap overflow in safetensors loader
CVE-2026-110695OpenClaw ClawScan: scanner path-skip bypass evades detection
CVE-2026-110689SageMaker SDK: git clone error leaks repo credentials to logs
CVE-2026-110248DataEase: stored XSS via chart axis label tooltip
CVE-2026-102756OW2 ASM: crafted class file triggers 2GB allocation DoS
CVE-2026-110257JupyterLab: trust prompt race marks wrong document trusted
CVE-2026-102832sherpa-onnx: buffer overflow via unvalidated model metadata
CVE-2026-108954Frequently 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.
Start 14-Day Free Trial