Flowise is a drag & drop user interface to build a customized large language model flow

Overview

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise openai-assistants-vector-store endpoints accept a client-controlled credential parameter and load credentials by id without checking whether that credential belongs to the caller workspace. Route permissions assistants:* only check feature access. The controller passes req.query.credential straight to the service, and the service uses findOneBy({ id: credentialId }), decrypts the credential, and calls OpenAI APIs without a workspaceId check. If an attacker knows another workspace credentialId, the attacker can use that workspace OpenAI key, read, modify, or delete victim vector stores and files, cause billing impact on the victim OpenAI account, and violate multi-tenant boundaries. This issue is fixed in version 3.1.3.

Affected

• flowise < 3.1.3

Remediation

Upgrade past the affected range:

• flowise 3.1.3

Package advisory (CVE-2026-70472)

Affected packages:

• flowise <= 3.1.2

Patched in:

• flowise 3.1.3

Source: https://github.com/advisories/GHSA-chm3-vqcf-52rx