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    CVE-2026-0762

    GPT Academic stream_daas Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Interaction with a malicious DAAS server is required to exploit this vulnerability but attack vectors may vary depending on the implementation. The specific flaw exists within the stream_daas function. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27956.

    Published:Jan 23, 2026
    Last Modified:Apr 18, 2026
    EPS:Jan 23, 2026
    EPSS Score:0.00494
    CVSS Score:8.1

    Affected Products

    Vendor
    Binary-husky
    Product
    Gpt Academic
    Vendor
    Gpt Academic Project
    Product
    Gpt Academic

    Exploits

    No exploit reference

    Common Attack Pattern Enumeration and Classification (CAPEC)

    Related CVEs

    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