Neuralnlp Neuralclassifier
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cpe:2.3:a:tencent:neuralnlp-neuralclassifier:*:*:*:*:*:*:*:*
part: a version: * update: *
| Vendor | Tencent (f719dbd4-b477-5cfc-82bb-cc1efc23c3ce) |
|---|---|
| Product | Neuralnlp Neuralclassifier (7a1c6c97-89e8-5277-a98d-46f6bf0fc02d) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | * |
| Target hardware | * |
| Other | * |
| Notes | Imported from gcve-enriched-dumps CVE data |
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
| No PURL mappings for this CPE yet. | ||
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2025-13708 |
vulnerable | 2026-06-03 14:58:53.483146 |
Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability
HIGH (7.8)
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.
Published: 2025-12-23T21:33:56.341Z
Updated: 2025-12-30T21:23:42.843Z |
Imported from gcve-enriched-dumps CVE data |
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