CVE-2025-13708: Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability
Vulnerability summary
CVE-2025-13708 is a high (CVSS 7.8) Deserialization of Untrusted Data vulnerability in tencent neuralnlp-neuralclassifier. EPSS estimates a 0.51% chance of exploitation in the next 30 days, higher than 43.7% of scored vulnerabilities.
Not severe (CVSS 7.8, local access); no exploitation reported by the 5 checked sources
Source freshness unavailable
How is this decided?Timeline
- 23-12-2025PublishedVulnerability first disclosed.
- 30-12-2025Last modifiedVulnerability information updated.
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 metrics
2 scores · 2 sources · 1 version- NVDNIST7.8HighCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS trend
Probability
0.51%
Chance of exploitation in the next 30 days
Percentile
44%
Versus all other CVEs
30-day change
No change 0.00 pp
From 0.51% on 04-10-2026
Known exploited
Compare KEV catalogsNot in the CISA KEV catalog.
Not in the ENISA CNW catalog.
Not in the CIRCL catalog.
Public exploits
0 foundNo public exploits indexed.
Weaknesses
CWE · root causeAffected systems
Known conditions: local access, no authentication, user interaction (CVSS vector). Other conditions: not stated in public data.
Tencent1 product
- neuralnlp-neuralclassifierCurrent
1 vendor · 1 product
References
2 links- www.zerodayinitiative.com/advisories/ZDI-25-1033/X Research Advisory