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 patchOpen WebUI: OAuth avatar stored XSS risks account takeover
CVE-2026-56398jadx-gui: HTML injection in APK Summary tab leaks IP
CVE-2026-42447wandb: weak hash weakens artifact integrity check
CVE-2026-15605CrewAI: SSRF filter bypass via DNS rebinding
CVE-2026-62240HashNeRF: torch.load deserialization allows local RCE
CVE-2026-15531n8n-workflow-builder: path traversal via filePath arg
CVE-2026-15521PraisonAI: RCE via unsandboxed LLM code execution
CVE-2026-61447PraisonAI: weak default block threshold lets prompt injection through
CVE-2026-61439PraisonAI: SSRF bypass via DNS rebinding/redirects
CVE-2026-61429PraisonAI: insecure defaults expose agent secrets
CVE-2026-61426PraisonAI: code injection via f-string in deploy API
CVE-2026-61444PraisonAI: IDOR lets members delete owner dependencies
CVE-2026-61441SiYuan: broken access control leaks private note data
CVE-2026-59853OpenClaw Android: command injection via WebView bridge
CVE-2026-15193pyload-ng: IPv6 SSRF bypass evades internal-IP guard
CVE-2026-48737Gradio: SSRF via file_fetch() leaks cloud IAM creds
CVE-2026-59806AVideo Meet: stored XSS via unescaped User-Agent
CVE-2026-60092Flowise: path traversal in vector store basePath
CVE-2026-56273OpenLLM: command injection via model repo name
CVE-2026-15035Foxit PDF: use-after-free in attachment panel via JS page deletion
CVE-2026-57252Frequently 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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