- CVSS
- CRITICAL · 9.1v3.1CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
- Published
- 2026-08-04
- Weakness
- CWE-639, CWE-915
- Source
- nvd.nist.gov/vuln/detail/CVE-2026-69258
Description
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the unauthenticated POST /api/v1/prediction/:id endpoint accepted an overrideConfig object and unconditionally spread it into internal flowConfig and flowData objects in packages/server/src/utils/buildChatflow.ts and packages/server/src/utils/index.ts without checking apiOverrideStatus. This allowed unauthenticated attackers to inject arbitrary properties into the flow execution context of any public chatflow, overwrite values such as chatId, sessionId, and chatHistory, and control values resolved through $flow.* template variables consumed by flow nodes. This issue is fixed in version 3.1.3.
References
- https://github.com/FlowiseAI/Flowise/commit/23b997ee5ef9e269b628bad0f56f1ecb86bd2fca
- https://github.com/FlowiseAI/Flowise/pull/6279
- https://github.com/FlowiseAI/Flowise/releases/tag/[email protected]
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-6vh2-wg4h-4vwj
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-6vh2-wg4h-4vwj
How GTK Cyber trains on this
AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2026-69258 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.