e7c33dbaad
* fix(security): do not execute code in validate_code (GHSA-2wcq-pvw2-xh7v)
POST /api/v1/validate/code compiled and exec'd every function definition in the
submitted code as part of "validation". Executing a function definition
evaluates its decorators and default-argument expressions at definition time, so
a payload like
def f(x=__import__("os").system("...")): ...
runs arbitrary code during validation without the function ever being called -
an authenticated RCE (effectively unauthenticated under the default AUTO_LOGIN
single-user setup). The same issue was also reported separately as a duplicate.
validate_code now compiles each function only to surface syntax/compile errors
and never exec()s it. The legitimate component-execution paths
(create_function/execute_function/eval_function), which are separately gated by
allow_custom_components, are unchanged.
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes (attempt 2/3)
* refactor(security): drop dead _create_langflow_execution_context helper
Addresses review feedback on GHSA-2wcq-pvw2-xh7v fix. The helper only
existed to seed the exec() that validate_code no longer performs, so its
only remaining references were its own isolation tests. Remove both, and
assert function compile errors are empty in the non-execution regression
test.
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual builder interface to quickly get started and iterate.
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Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually. Available for Windows and macOS.
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Install locally (recommended)
Requires Python 3.10–3.14 and uv (recommended package manager).
Install
From a fresh directory, run:
uv pip install langflow -U
The latest Langflow package is installed. For more information, see Install and run the Langflow OSS Python package.
Run
To start Langflow, run:
uv run langflow run
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That's it! You're ready to build with Langflow! 🎉
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If you've cloned this repository and want to contribute, run this command from the repository root:
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For more information, see DEVELOPMENT.md.
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docker run -p 7860:7860 langflowai/langflow:latest
Langflow is available at http://localhost:7860/. For configuration options, see the Docker deployment guide.
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For security information, see our Security Policy.
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