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 1346 results — Active exploitation, no patchDrayTek Vigor2960: path traversal in Apmupload
CVE-2026-113392Langchain-Chatchat: unauthenticated shell tool RCE
CVE-2026-75128BentoML: Dockerfile injection via docker.env keys
CVE-2026-112264fastllm: 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-2026-111991Hospital Mgmt System: SQL injection in appointment cancel
CVE-2026-111990A1111 WebUI: stored XSS via safetensors metadata hash
CVE-2026-111987ChatOllama: IDOR exposes other users' knowledge bases
CVE-2026-111702DataBuff APM: hard-coded admin credentials allow full takeover
CVE-2026-111693DataBuff ai-apm-web: hardcoded JWT secret enables admin bypass
CVE-2026-111692Nginx-UI: Casdoor SSO login CSRF forces victim into attacker session
CVE-2026-84312Nginx-UI: missing re-auth on 2FA enrolment enables takeover
CVE-2026-84313FreeRDP: 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-2026-110689DataEase: stored XSS via chart axis label tooltip
CVE-2026-102756Portkey Gateway: SSRF via custom host header
CVE-2026-110719VNote: argument injection in external program launch
CVE-2026-86022sherpa-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?
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