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    2 vulnerabilities found for NeuralNLP-NeuralClassifier by Tencent

    CVE-2025-13708 (GCVE-0-2025-13708)

    Vulnerability from cvelistv5 – Published: 2025-12-23 21:33 – Updated: 2025-12-30 21:23
    VLAI
    Title
    Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability
    Summary
    Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent NeuralNLP-NeuralClassifier. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the _load_checkpoint 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-27184.
    Severity
    7.8 (High)
    CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
    SSVC
    Exploitation: none Automatable: no Technical Impact: total
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-502 - Deserialization of Untrusted Data
    Assigner
    zdi
    References
    Impacted products
    Date Public
    2025-12-01 22:44
    Show details on NVD website
    To clipboard 

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    CVE-2025-13708 (GCVE-0-2025-13708)

    Vulnerability from nvd – Published: 2025-12-23 21:33 – Updated: 2025-12-30 21:23
    VLAI
    Title
    Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability
    Summary
    Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent NeuralNLP-NeuralClassifier. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the _load_checkpoint 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-27184.
    Severity
    7.8 (High)
    CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
    SSVC
    Exploitation: none Automatable: no Technical Impact: total
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-502 - Deserialization of Untrusted Data
    Assigner
    zdi
    References
    Impacted products
    Date Public
    2025-12-01 22:44
    Show details on NVD website
    To clipboard 

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