RCE in Agpt Autogpt Classic
CVE-2023-37273
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.
Vulnerability class: RCE (Remote Code Execution)
EPSS: 0.004 (28.4th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 8.1 (High). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:L.
Affected products
- Agpt Autogpt_classic
- Significant-gravitas Auto-gpt — versions < 0.4.3
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (x_refsource_CONFIRM, Patch, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
Frequently asked questions
- What is CVE-2023-37273?
- CVE-2023-37273 is a high-severity vulnerability in Agpt Autogpt Classic, classified under Code Injection. CVSS score: 8.1/10. Published 2023-07-13.
- How severe is CVE-2023-37273?
- High severity. CVSS v3 base score is 8.1 out of 10.
- Is CVE-2023-37273 known to be exploited?
- 4 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.