- CVSS
- HIGH · 8.5v3.1CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:L
- Published
- 2026-08-04
- Weakness
- CWE-200, CWE-202, CWE-862
- Source
- nvd.nist.gov/vuln/detail/CVE-2026-70473
Description
Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name. The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3.
References
- https://github.com/FlowiseAI/Flowise/commit/d81483b70c997ddf981acc9c49fbd9a02fa345cd
- https://github.com/FlowiseAI/Flowise/pull/6170
- https://github.com/FlowiseAI/Flowise/releases/tag/[email protected]
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-fr6g-7cq8-fg82
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-fr6g-7cq8-fg82
How GTK Cyber trains on this
AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2026-70473 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.