cb06a666d0
`BaseFileComponent._unpack_bundle._safe_extract_tar` accepted any TAR member type and only checked that `output_dir / member.name` did not escape the extract dir. That check was performed before extraction, so a symlink whose *target* was an absolute path (or `../` escape) was extracted untouched. Once on disk the link was iterated by `temp_dir_path.iterdir()` and handed to `process_files()`, whose concrete implementations (FileComponent, DoclingInline/Remote, NvidiaIngest, VideoFile, Unstructured) call `path.read_bytes()` and follow the link to read arbitrary host files. The reporter's exploit chain leaks `~/.langflow/secret_key`, forges a JWT for an admin user, and then runs arbitrary code through the Python interpreter node, achieving RCE. Python's `tarfile` only defaults to the safe `data` filter on Python 3.14, which langflow's `requires-python = ">=3.10,<3.14"` excludes — so every supported interpreter was vulnerable. Fix: - `_safe_extract_tar` now rejects symbolic-link, hard-link, FIFO, and device-node members with a `ValueError` and only extracts regular files and directories. - `_unpack_and_collect_files` skips any `is_symlink()` entries from the extracted bundle directory and from recursive directory walks as defense-in-depth in case a future bundle format slips a link through. - New `tests/unit/base/data/test_base_file_unpack.py` covers symlink (abs + relative escape), hardlink, FIFO rejection, benign tar/zip extraction, the post-extraction symlink filter, and an end-to-end repro mirroring the advisory PoC (real filesystem symlink → tarfile.add). Refs: https://github.com/langflow-ai/langflow/security/advisories/GHSA-ccv6-r384-xp75
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.
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
🖥️ Langflow Desktop
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.
⚡️ Quickstart
Install locally (recommended)
Requires Python 3.10–3.13 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
Langflow starts at http://127.0.0.1:7860.
That's it! You're ready to build with Langflow! 🎉
📦 Other install options
Run from source
If you've cloned this repository and want to contribute, run this command from the repository root:
make run_cli
For more information, see DEVELOPMENT.md.
Docker
Start a Langflow container with default settings:
docker run -p 7860:7860 langflowai/langflow:latest
Langflow is available at http://localhost:7860/. For configuration options, see the Docker deployment guide.
🛡️ Security
For security information, see our Security Policy.
🚀 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to deploy Langflow, see our Langflow deployment guides.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.