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 1908 results — High severityn8n: auth bypass via embed login token exchange
GHSA-8342-988q-86crFFmpeg: double-free in NVDEC decoder enables RCE
CVE-2026-64832n8n: Git clone TOCTOU race allows RCE via symlink swap
CVE-2026-65598n8n: DOM XSS in preview hijacks editor session
CVE-2026-65597n8n: Token Exchange bug grants admin API access
CVE-2026-65595n8n: stored XSS via javascript: URI in Resource Locator
CVE-2026-65592n8n: expression sanitizer bypass leads to host RCE
CVE-2026-65591n8n: SSO instance-role provisioning grants owner
CVE-2026-65016n8n: Project Viewer escalates via AI Agent tool
CVE-2026-65015Ollama: crafted GGUF file crashes inference server
CVE-2026-65315Gitea: cached permission check allows repo takeover
CVE-2026-27775lmdeploy: SSRF via redirect bypasses private IP guard
CVE-2026-63764Kubeflow: token theft lets any user hijack accounts
CVE-2026-47237MCP Toolbox: SQLi bypasses BigQuery allowedDatasets ACL
CVE-2026-15829Pillow: OOB read/DoS via unchecked mmap stride (McIdas)
CVE-2026-54058Keras: unsafe pickle deserialization allows RCE
CVE-2026-12484dd-trace: unbounded W3C baggage parsing enables DoS
CVE-2026-50272dd-trace-py: unbounded baggage header parsing causes DoS
CVE-2026-50271Langflow: SaveToFile flaw breaks user storage isolation
CVE-2026-13445Langflow: auth'd param injection via apply_tweaks() enables code exec
CVE-2026-8056Frequently 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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