Executive Summary

Informations
Name CVE-2023-37274 First vendor Publication 2023-07-13
Vendor Cve Last vendor Modification 2023-07-27

Security-Database Scoring CVSS v3

Cvss vector : CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Overall CVSS Score 7.8
Base Score 7.8 Environmental Score 7.8
impact SubScore 5.9 Temporal Score 7.8
Exploitabality Sub Score 1.8
 
Attack Vector Local Attack Complexity Low
Privileges Required Low User Interaction None
Scope Unchanged Confidentiality Impact High
Integrity Impact High Availability Impact High
Calculate full CVSS 3.0 Vectors scores

Security-Database Scoring CVSS v2

Cvss vector :
Cvss Base Score N/A Attack Range N/A
Cvss Impact Score N/A Attack Complexity N/A
Cvss Expoit Score N/A Authentication N/A
Calculate full CVSS 2.0 Vectors scores

Detail

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.

Original Source

Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-37274

CWE : Common Weakness Enumeration

% Id Name
100 % CWE-94 Failure to Control Generation of Code ('Code Injection')

CPE : Common Platform Enumeration

TypeDescriptionCount
Application 1

Sources (Detail)

Source Url
MISC https://github.com/Significant-Gravitas/Auto-GPT/pull/4756
https://github.com/Significant-Gravitas/Auto-GPT/security/advisories/GHSA-5h3...

Alert History

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0
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Date Informations
2023-07-27 21:27:35
  • Multiple Updates
2023-07-14 17:27:18
  • Multiple Updates
2023-07-14 05:27:18
  • First insertion