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 | |||
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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
Type | Description | Count |
---|---|---|
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
Date | Informations |
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2023-07-27 21:27:35 |
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2023-07-14 17:27:18 |
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2023-07-14 05:27:18 |
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