CVE-2023-37274
Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. When Auto-GPT is executed directly on the host system via the provided run.sh or run.bat files, custom Python code execution is sandboxed using a temporary dedicated docker container which should not have access to any files outside of the Auto-GPT workspace directory. Before v0.4.3, the execute_python_code command (introduced in v0.4.1) does not sanitize the basename arg before writing LLM-supplied code to a file with an LLM-supplied name.
This allows for a path traversal attack that can overwrite any .py file outside the workspace directory by specifying a basename such as ../../../main.py. This can further be abused to achieve arbitrary code execution on the host running Auto-GPT by e.g. overwriting autogpt/main.py which will be executed outside of the docker environment meant to sandbox custom python code execution the next time Auto-GPT is started. The issue has been patched in version 0.4.3.
As a workaround, the risk introduced by this vulnerability can be remediated by running Auto-GPT in a virtual machine, or another environment in which damage to files or corruption of the program is not a critical problem.
- Public exploit or PoC is available
- CVSS base score ≥ 7.0
ATT&CK techniques
3Techniques this CVE enables - linked via CWECAPECATT&CK. High◆ = named directly in ATT&CK or Nuclei templates.
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3Attack patterns this CVE enables - the bridge from weakness to ATT&CK technique.