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 2345 results — no patchCodex CLI: git core.fsmonitor hook enables RCE
CVE-2026-19592 Codex Desktop: Git config filter triggers sandbox-escape RCE
CVE-2026-19593 Codex CLI: PowerShell parsing flaw bypasses approval, RCE
CVE-2026-19591 Codex Desktop: Git hook trust flaw enables RCE
CVE-2026-19590 Transformers: remote file write bypasses trust prompt
CVE-2026-80047 Ankara Site Panel: SQLi enables full DB compromise
CVE-2026-5956 pdfme: XSS via unsanitized i18n labels in Designer
CVE-2026-82865 ash_cloak: encrypted field plaintext leaks into logs
CVE-2026-81322 SiYuan: stored XSS via malicious bazaar package names
CVE-2026-82653 browser-use web-ui: stores LLM API keys in cleartext
CVE-2026-82640 NextChat: proxy URL check bypass leaks OpenAI key
CVE-2026-82639 browser-use: arbitrary directory creation via paths
CVE-2026-82637 Readest: iframe srcdoc XSS bypass leads to RCE
CVE-2026-82642 ash_paper_trail: sensitive fields leak in version logs
CVE-2026-75847 Formwork: stored XSS via unescaped Referer header in stats
CVE-2026-82451 Langflow: auth'd RCE bypasses custom-component block
CVE-2026-19295 Langflow: authz flaw lets users run others' AI flows
CVE-2026-19294 Langflow: unauthenticated RCE via A2A endpoint
CVE-2026-19286 Langflow: namespace collision leaks data, injects messages
CVE-2026-18904 Langflow: path traversal enables arbitrary file read
CVE-2026-18899 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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