CVE-2024-10950
Binary-Husky GPT Academic CodeInterpreter Code Injection RCE
Description
In binary-husky/gpt_academic version <= 3.83, the plugin `CodeInterpreter` is vulnerable to code injection caused by prompt injection. The root cause is the execution of user-provided prompts that generate untrusted code without a sandbox, allowing the execution of parts of the LLM-generated code. This vulnerability can be exploited by an attacker to achieve remote code execution (RCE) on the application backend server, potentially gaining full control of the server.
INFO
Published Date :
March 20, 2025, 10:15 a.m.
Last Modified :
July 14, 2025, 5:20 p.m.
Remotely Exploit :
Yes !
Source :
[email protected]
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.0 | HIGH | [email protected] |
Solution
- Update the CodeInterpreter plugin to the latest version.
- Implement input validation for all user-provided prompts.
- Execute user-generated code in a secured sandbox environment.
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-2024-10950.
| URL | Resource |
|---|---|
| https://huntr.com/bounties/9abb1617-0c1d-42c7-a647-d9d2b39c6866 | Exploit Third Party Advisory |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-10950 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-2024-10950
weaknesses.
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-2024-10950 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-10950 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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Initial Analysis by [email protected]
Jul. 14, 2025
Action Type Old Value New Value Added CPE Configuration OR *cpe:2.3:a:binary-husky:gpt_academic:*:*:*:*:*:*:*:* versions up to (including) 3.83 Added Reference Type huntr.dev: https://huntr.com/bounties/9abb1617-0c1d-42c7-a647-d9d2b39c6866 Types: Exploit, Third Party Advisory -
New CVE Received by [email protected]
Mar. 20, 2025
Action Type Old Value New Value Added Description In binary-husky/gpt_academic version <= 3.83, the plugin `CodeInterpreter` is vulnerable to code injection caused by prompt injection. The root cause is the execution of user-provided prompts that generate untrusted code without a sandbox, allowing the execution of parts of the LLM-generated code. This vulnerability can be exploited by an attacker to achieve remote code execution (RCE) on the application backend server, potentially gaining full control of the server. Added CVSS V3 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Added CWE CWE-94 Added Reference https://huntr.com/bounties/9abb1617-0c1d-42c7-a647-d9d2b39c6866