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    CVE-2024-10100

    A path traversal vulnerability exists in binary-husky/gpt_academic version 3.83. The vulnerability is due to improper handling of the file parameter, which is open to path traversal through URL encoding. This allows attackers to view any file on the host system, including sensitive files such as critical application files, SSH keys, API keys, and configuration values.

    Published:Oct 17, 2024
    Last Modified:Jul 11, 2025
    EPS:Oct 17, 2024
    EPSS Score:0.00152
    CVSS Score:7.5

    Affected Products

    Vendor
    Binary-husky
    Product
    Gpt Academic

    Exploits

    https://huntr.com/bounties/e58a0fb4-2b1d-49ef-b32e-bb62659a6f99

    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-2024-10950 (CVSS 8.8) — In binary-husky/gpt_academic version <= 3.83, the plugin `CodeInterpreter` is vulnerable to code injection cau…
    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…

    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