CVE-2023-37274

Description

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.

Reserved 2023-06-29 | Published 2023-07-13 | Updated 2024-10-30 | Assigner GitHub_M

Problem types

CWE-94: Improper Control of Generation of Code ('Code Injection')

Product status

< 0.4.3
affected

References

github.com/...to-GPT/security/advisories/GHSA-5h38-mgp9-rj5f

github.com/Significant-Gravitas/Auto-GPT/pull/4756

cve.org (CVE-2023-37274)

nvd.nist.gov (CVE-2023-37274)

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