CVE-2025-13708
Unknown Unknown - Not Provided
Deserialization RCE in Tencent NeuralNLP _load_checkpoint Function

Publication date: 2025-12-23

Last updated on: 2025-12-23

Assigner: Zero Day Initiative

Description
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.
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Meta Information
Published
2025-12-23
Last Modified
2025-12-23
Generated
2026-05-07
AI Q&A
2025-12-24
EPSS Evaluated
2026-05-05
NVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
tencent neuralnlp-neuralclassifier 3.0
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-502 The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
Attack-Flow Graph
AI Powered Q&A
How can this vulnerability impact me? :

The vulnerability can allow remote attackers to execute arbitrary code with root privileges on affected systems. This can lead to full system compromise, unauthorized access, data theft, or disruption of services.


Can you explain this vulnerability to me?

This vulnerability exists in the _load_checkpoint function of Tencent NeuralNLP-NeuralClassifier. It involves deserialization of untrusted data due to improper validation of user-supplied input. An attacker can exploit this by tricking a user into visiting a malicious page or opening a malicious file, which allows remote code execution in the context of root.


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