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CVE-2024-10954

Date: March 20, 2025

In the "manim" plugin of binary-husky/gpt_academic, versions prior to the fix, a vulnerability exists due to improper handling of user-provided prompts. The root cause is the execution of untrusted code generated by the LLM without a proper sandbox. This allows an attacker to perform remote code execution (RCE) on the app backend server by injecting malicious code through the prompt.

Severity Score

Related Resources (3)

https://nvd.nist.gov/vuln/detail/CVE-2024-10954
https://huntr.com/bounties/72d034e3-6ca2-495d-98a7-ac9565588c09
https://www.mend.io/vulnerability-database/CVE-2024-10954

Severity Score

Weakness Type (CWE)

Improper Neutralization of Special Elements used in a Command ('Command Injection')

CWE-77

Improper Control of Generation of Code ('Code Injection')

CWE-94

CVSS v3.1

Base Score:
Attack Vector (AV): NETWORK
Attack Complexity (AC): LOW
Privileges Required (PR): LOW
User Interaction (UI): NONE
Scope (S): UNCHANGED
Confidentiality (C): HIGH
Integrity (I): HIGH
Availability (A): HIGH

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