- CVSS
- HIGH · 8.8v3.1CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
- Published
- 2026-08-04
- Weakness
- CWE-94
- Source
- nvd.nist.gov/vuln/detail/CVE-2026-69255
Description
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent in packages/components/nodes/agents/CSVAgent/CSVAgent.ts extracted attacker-controlled CSV data with file.split(‘,’).pop() and interpolated it directly into executable Python as base64_string = “${base64String}” before calling Pyodide. The validatePythonCodeForDataFrame() denylist only checked later LLM-generated code and did not validate this initial code block. An authenticated attacker could inject a closing quote followed by Python code, use Pyodide’s js bridge to load Node.js child_process, and execute arbitrary operating system commands as root in the Flowise container. This issue is fixed in version 3.1.3.
References
- https://github.com/FlowiseAI/Flowise/commit/f4e2794f6a576b94578f2fdafbf49c2fb304626c
- https://github.com/FlowiseAI/Flowise/pull/6499
- https://github.com/FlowiseAI/Flowise/releases/tag/flowise%403.1.3
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-vmv7-4m6c-3cg5
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-vmv7-4m6c-3cg5
How GTK Cyber trains on this
AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2026-69255 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.