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 943 results — High severity, Active exploitationnbconvert: path traversal allows arbitrary file write
CVE-2026-114140Issuu Panel WP plugin: file inclusion enables RCE
CVE-2016-20101DrayTek Vigor2960: path traversal in Apmupload
CVE-2026-113392MLflow: path traversal allows arbitrary file write
CVE-2026-53995BentoML: Dockerfile injection via docker.env keys
CVE-2026-112264Hospital Mgmt System: SQL injection in appointment cancel
CVE-2026-111990ChatOllama: IDOR exposes other users' knowledge bases
CVE-2026-111702Nginx-UI: Casdoor SSO login CSRF forces victim into attacker session
CVE-2026-84312Nginx UI: missing 2FA step-up on admin mutation routes
CVE-2026-84315Nginx-UI: missing re-auth on 2FA enrolment enables takeover
CVE-2026-84313Portkey Gateway: SSRF via custom host header
CVE-2026-110719VNote: argument injection in external program launch
CVE-2026-86022Open WebUI: terminal proxy privilege escalation
CVE-2026-109572Nginx UI: MCP config_add bypasses directive validation
CVE-2026-84317EdgeEver: stored XSS via MCP names steals bridge token
CVE-2026-109557PraisonAI: SSRF via LLM-controlled SearxNG URL
CVE-2026-57143MONAI: unsafe unpickle of SENet weights enables RCE
CVE-2026-109360Open WebUI: stored XSS via DOCX preview enables admin takeover
CVE-2026-109290Amnezia-Web-Panel: default credentials in backup download
CVE-2026-108783LobsterAI: skill _meta.json path abuse deletes home dir
CVE-2026-108156Frequently 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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