CVE-2023-37273 Docker escape in Auto-GPT when running from docker-compose.yml included in git repo

High 8.1 Published Updated

Attackers can execute arbitrary code to overwrite configuration files, enabling container escape and host system compromise in Auto-GPT.

Exploited in the wild
Not known
Login needed
Any signed-in user
Attackable
Local or same network only
Victim action needed
A user has to click or open something
Fix
None listed

What is CVE-2023-37273?

CVE-2023-37273 is a high-severity code injection vulnerability in Significant-Gravitas Auto-GPT, published on 13 Jul 2023. It can only be exploited from the same machine or local network, and only if a user opens a file or follows a link.

Official description

Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. Running Auto-GPT version prior to 0.4.3 by cloning the git repo and executing `docker compose run auto-gpt` in the repo root uses a different docker-compose.yml file from the one suggested in the official docker set up instructions. The docker-compose.yml file located in the repo root mounts itself into the docker container without write protection. This means that if malicious custom python code is executed via the `execute_python_file` and `execute_python_code` commands, it can overwrite the docker-compose.yml file and abuse it to gain control of the host system the next time Auto-GPT is started. The issue has been patched in version 0.4.3.

Weakness: CWE-94

Which versions are affected by CVE-2023-37273?

It affects 1 product.

Products include Agpt Autogpt Classic.

How do I fix CVE-2023-37273?

No fix has been published for CVE-2023-37273 yet. Limit exposure of the affected software until one is available.

Upgrade, and never evaluate templates, expressions or code built from user input. More about Code injection.

Is CVE-2023-37273 being exploited?

There is no known exploitation of CVE-2023-37273 in the wild and no public exploit code.

Public exploit code: 1 proofs of concept on GitHub.

Sources

Also known as GHSA-x5gj-2chr-4ch6.

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