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.

CVSS Scores

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Meta Information

Published

2025-12-23

Last Modified

2025-12-23

Generated

2026-07-06

AI Q&A

2025-12-24

EPSS Evaluated

2026-07-05

NVD

CVE-2025-13708

Affected Vendors & Products

Vendor	Product	Version / Range
tencent	neuralnlp-neuralclassifier	3.0

Helpful Resources

Exploitability

CWE

KEV

CWE ID	Description
CWE-502	The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

Attack-Flow Graph

Impact Analysis

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.

Executive Summary

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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