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    CVE-2024-10950

    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.

    Published:Mar 20, 2025
    Last Modified:Oct 15, 2025
    EPS:Mar 20, 2025
    EPSS Score:0.00778
    CVSS Score:8.8

    Affected Products

    Vendor
    Binary-husky
    Product
    Gpt Academic

    Exploits

    https://huntr.com/bounties/9abb1617-0c1d-42c7-a647-d9d2b39c6866

    Related CVEs

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    CVE-2025-10236 (CVSS 2.1) — A vulnerability has been found in binary-husky gpt_academic up to 3.91. Impacted is the function merge_tex_fil…
    CVE-2024-12387 (CVSS 6.5) — A vulnerability in the binary-husky/gpt_academic repository, as of commit git 3890467, allows an attacker to c…
    CVE-2024-10986 (CVSS 8.8) — GPT Academic version 3.83 is vulnerable to a Local File Read (LFI) vulnerability through its HotReload functio…
    CVE-2024-10954 (CVSS 8.8) — In the `manim` plugin of binary-husky/gpt_academic, versions prior to the fix, a vulnerability exists due to i…
    CVE-2024-12390 (CVSS 8.8) — A vulnerability in binary-husky/gpt_academic version git 310122f allows for remote code execution. The applica…
    CVE-2024-10714 (CVSS 7.5) — A vulnerability in binary-husky/gpt_academic version 3.83 allows an attacker to cause a Denial of Service (DoS…
    CVE-2024-12391 (CVSS 6.5) — A vulnerability in binary-husky/gpt_academic, as of commit 310122f, allows for a Regular Expression Denial of …

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High