Langflow: Authenticated Users Can Read, Modify, and Delete Any Flow via Missing Ownership Check

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.5.1, the `_read_flow` helper in `src/backend/base/langflow/api/v1/flows.py` branched on the `AUTO_LOGIN` setting to decide whether to filter by `user_id`. When `AUTO_LOGIN` was `False` (i.e., authentication was enabled), neither branch enforced an ownership check — the query returned any flow matching the given UUID regardless of who owned it. This allowed any authenticated user to read any other user's flow, including embedded plaintext API keys; modify the logic of another user's AI agents, and/or delete flows belonging to other users. The vulnerability was introduced by the conditional logic that was meant to accommodate public/example flows (those with `user_id = NULL`) under auto-login mode, but inadvertently left the authenticated path without an ownership filter. The fix in version 1.5.1 removes the `AUTO_LOGIN` conditional entirely and unconditionally scopes the query to the requesting user.

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通过用户控制密钥绕过授权机制

Langflow 安全漏洞

Langflow是Langflow开源的一个用于构建多代理和 RAG 应用程序的可视化框架。 Langflow 1.5.1之前版本存在安全漏洞，该漏洞源于_read_flow助手缺少所有权检查，可能导致经过身份验证的用户读取、修改或删除其他用户的流程。

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