CVE-2024-4343
Amazon SageMaker PrivateGPT Python Command Injection Vulnerability
Description
A Python command injection vulnerability exists in the `SagemakerLLM` class's `complete()` method within `./private_gpt/components/llm/custom/sagemaker.py` of the imartinez/privategpt application, versions up to and including 0.3.0. The vulnerability arises due to the use of the `eval()` function to parse a string received from a remote AWS SageMaker LLM endpoint into a dictionary. This method of parsing is unsafe as it can execute arbitrary Python code contained within the response. An attacker can exploit this vulnerability by manipulating the response from the AWS SageMaker LLM endpoint to include malicious Python code, leading to potential execution of arbitrary commands on the system hosting the application. The issue is fixed in version 0.6.0.
INFO
Published Date :
Nov. 14, 2024, 6:15 p.m.
Last Modified :
Nov. 18, 2024, 9:35 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
Affected Products
The following products are affected by CVE-2024-4343
vulnerability.
Even if cvefeed.io is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
No affected product recoded yet
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-2024-4343.
| URL | Resource |
|---|---|
| https://github.com/imartinez/privategpt/commit/86368c61760c9cee5d977131d23ad2a3e063cbe9 | |
| https://huntr.com/bounties/1d1e8f06-ec45-4b17-ae24-b83a41304c15 |
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-2024-4343 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-4343 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.
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CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Nov. 18, 2024
Action Type Old Value New Value Added CVSS V3.1 CISA-ADP AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H -
CVE Received by [email protected]
Nov. 14, 2024
Action Type Old Value New Value Added Description A Python command injection vulnerability exists in the `SagemakerLLM` class's `complete()` method within `./private_gpt/components/llm/custom/sagemaker.py` of the imartinez/privategpt application, versions up to and including 0.3.0. The vulnerability arises due to the use of the `eval()` function to parse a string received from a remote AWS SageMaker LLM endpoint into a dictionary. This method of parsing is unsafe as it can execute arbitrary Python code contained within the response. An attacker can exploit this vulnerability by manipulating the response from the AWS SageMaker LLM endpoint to include malicious Python code, leading to potential execution of arbitrary commands on the system hosting the application. The issue is fixed in version 0.6.0. Added Reference huntr.dev https://huntr.com/bounties/1d1e8f06-ec45-4b17-ae24-b83a41304c15 [No types assigned] Added Reference huntr.dev https://github.com/imartinez/privategpt/commit/86368c61760c9cee5d977131d23ad2a3e063cbe9 [No types assigned] Added CWE huntr.dev CWE-78 Added CVSS V3 huntr.dev AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-4343 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-2024-4343
weaknesses.