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 800 results — High severity, Active exploitationXinference: RCE via forced trust_remote_code=True
CVE-2026-76841 ONNX: TOCTOU symlink bug allows arbitrary file overwrite
CVE-2026-49114 LangChain: SitemapLoader SSRF bypasses domain restriction
CVE-2026-72848 CodeWhale: rlm_eval RCE bypasses approval policy
CVE-2026-75858 MLflow: missing authz check leaks private artifacts
CVE-2026-69148 Budibase: SSRF in automations reaches cloud metadata
CVE-2026-35219 SiYuan: unthrottled brute-force exposes published notes
CVE-2026-74868 Edimax EW-7478APC: command injection via rootAPmac
CVE-2026-19960 SiYuan: brute-force bypass of notebook publish passwords
CVE-2026-73045 SiYuan: missing authz exposes filtered DB rows
CVE-2026-73608 SiYuan: second-order SQLi via malicious template packages
CVE-2026-72807 SiYuan: key material leak enables offline cracking
CVE-2026-72801 SiYuan: broken access control leaks encrypted notes
CVE-2026-72789 SiYuan: getConf leaks session key, enables admin takeover
CVE-2026-72793 Claude Code Templates: unauth RCE via shell injection
CVE-2026-73222 TypeBot: guest role exfiltrates OpenAI keys via SSRF
CVE-2026-48766 Accelerate: path traversal in checkpoint loading
CVE-2026-69112 Flowise: auth bypass leaks private chatflow files
CVE-2026-71962 Flowise: SSRF bypass exposes cloud metadata credentials
CVE-2026-67620 Flowise: auth bypass triggers unauthorized OAuth refresh
CVE-2026-70636 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.
Need deeper analysis?
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