CVE-2023-37273
Auto-GPT Docker Container File System Write Access provides Arbitrary Code Execution
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.
INFO
Published Date :
July 13, 2023, 11:15 p.m.
Last Modified :
Nov. 21, 2024, 8:11 a.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
6.0
Exploitability Score :
2.0
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2023-37273.
| URL | Resource |
|---|---|
| https://github.com/Significant-Gravitas/Auto-GPT/pull/4761 | Patch Third Party Advisory |
| https://github.com/Significant-Gravitas/Auto-GPT/security/advisories/GHSA-x5gj-2chr-4ch6 | Patch Third Party Advisory |
| https://github.com/Significant-Gravitas/Auto-GPT/pull/4761 | Patch Third Party Advisory |
| https://github.com/Significant-Gravitas/Auto-GPT/security/advisories/GHSA-x5gj-2chr-4ch6 | Patch Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2023-37273 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2023-37273 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference https://github.com/Significant-Gravitas/Auto-GPT/pull/4761 Added Reference https://github.com/Significant-Gravitas/Auto-GPT/security/advisories/GHSA-x5gj-2chr-4ch6 -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Jul. 27, 2023
Action Type Old Value New Value Added CVSS V3.1 NIST AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H Changed Reference Type https://github.com/Significant-Gravitas/Auto-GPT/pull/4761 No Types Assigned https://github.com/Significant-Gravitas/Auto-GPT/pull/4761 Patch, Third Party Advisory Changed Reference Type https://github.com/Significant-Gravitas/Auto-GPT/security/advisories/GHSA-x5gj-2chr-4ch6 No Types Assigned https://github.com/Significant-Gravitas/Auto-GPT/security/advisories/GHSA-x5gj-2chr-4ch6 Patch, Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:agpt:auto-gpt:*:*:*:*:*:*:*:* versions up to (excluding) 0.4.3
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2023-37273 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2023-37273
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.04 }} 0.00%
score
0.07069
percentile