Auto-GPT up to 0.4.2 Python Code docker-compose.yml execute_python_file/execute_python_code code injection

CVSS Meta Temp Score
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CTI Interest Score
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7.6$0-$5k0.00

Summaryinfo

A vulnerability was found in Auto-GPT up to 0.4.2. It has been classified as critical. This vulnerability affects the function execute_python_file/execute_python_code of the file docker-compose.yml of the component Python Code Handler. This manipulation causes code injection. This vulnerability is tracked as CVE-2023-37273. The attack is possible to be carried out remotely. No exploit exists. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability classified as critical was found in Auto-GPT up to 0.4.2. Affected by this vulnerability is the function execute_python_file/execute_python_code of the file docker-compose.yml of the component Python Code Handler. The manipulation with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

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.

The weakness was disclosed 07/14/2023 as GHSA-x5gj-2chr-4ch6. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2023-37273 since 06/29/2023. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.

Upgrading to version 0.4.3 eliminates this vulnerability. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

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Productinfo

Type

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.7
VulDB Meta Temp Score: 7.6

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CNA Base Score: 8.1
CNA Vector (GitHub, Inc.): 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Code injection
CWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Auto-GPT 0.4.3
Patch: github.com

Timelineinfo

06/29/2023 🔍
07/14/2023 +15 days 🔍
07/14/2023 +0 days 🔍
08/05/2023 +22 days 🔍

Sourcesinfo

Advisory: GHSA-x5gj-2chr-4ch6
Status: Confirmed

CVE: CVE-2023-37273 (🔍)
GCVE (CVE): GCVE-0-2023-37273
GCVE (VulDB): GCVE-100-234127

Entryinfo

Created: 07/14/2023 08:03
Updated: 08/05/2023 15:47
Changes: 07/14/2023 08:03 (43), 08/05/2023 15:47 (21)
Complete: 🔍
Cache ID: 216::103

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