Search criteria
2 vulnerabilities found for NeuralNLP-NeuralClassifier by Tencent
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)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
| URL | Tags | |||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Tencent | NeuralNLP-NeuralClassifier |
Affected:
Current
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2025-13708",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-12-30T21:23:34.328466Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-12-30T21:23:42.843Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unknown",
"product": "NeuralNLP-NeuralClassifier",
"vendor": "Tencent",
"versions": [
{
"status": "affected",
"version": "Current"
}
]
}
],
"dateAssigned": "2025-11-25T21:52:38.685Z",
"datePublic": "2025-12-01T22:44:54.799Z",
"descriptions": [
{
"lang": "en",
"value": "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.\n\nThe 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."
}
],
"metrics": [
{
"cvssV3_0": {
"baseScore": 7.8,
"baseSeverity": "HIGH",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"format": "CVSS"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502: Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-12-23T21:33:56.341Z",
"orgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
"shortName": "zdi"
},
"references": [
{
"name": "ZDI-25-1033",
"tags": [
"x_research-advisory"
],
"url": "https://www.zerodayinitiative.com/advisories/ZDI-25-1033/"
},
{
"name": "vendor-provided URL",
"tags": [
"vendor-advisory"
],
"url": "https://github.com/Tencent/NeuralNLP-NeuralClassifier/commit/8dea5ffdb45cf0a33b3d116de38507afaee87594"
}
],
"source": {
"lang": "en",
"value": "Peter Girnus (@gothburz) of Trend Zero Day Initiative"
},
"title": "Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability"
}
},
"cveMetadata": {
"assignerOrgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
"assignerShortName": "zdi",
"cveId": "CVE-2025-13708",
"datePublished": "2025-12-23T21:33:56.341Z",
"dateReserved": "2025-11-25T21:52:38.662Z",
"dateUpdated": "2025-12-30T21:23:42.843Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
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)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
| URL | Tags | |||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Tencent | NeuralNLP-NeuralClassifier |
Affected:
Current
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2025-13708",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-12-30T21:23:34.328466Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-12-30T21:23:42.843Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unknown",
"product": "NeuralNLP-NeuralClassifier",
"vendor": "Tencent",
"versions": [
{
"status": "affected",
"version": "Current"
}
]
}
],
"dateAssigned": "2025-11-25T21:52:38.685Z",
"datePublic": "2025-12-01T22:44:54.799Z",
"descriptions": [
{
"lang": "en",
"value": "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.\n\nThe 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."
}
],
"metrics": [
{
"cvssV3_0": {
"baseScore": 7.8,
"baseSeverity": "HIGH",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"format": "CVSS"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502: Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-12-23T21:33:56.341Z",
"orgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
"shortName": "zdi"
},
"references": [
{
"name": "ZDI-25-1033",
"tags": [
"x_research-advisory"
],
"url": "https://www.zerodayinitiative.com/advisories/ZDI-25-1033/"
},
{
"name": "vendor-provided URL",
"tags": [
"vendor-advisory"
],
"url": "https://github.com/Tencent/NeuralNLP-NeuralClassifier/commit/8dea5ffdb45cf0a33b3d116de38507afaee87594"
}
],
"source": {
"lang": "en",
"value": "Peter Girnus (@gothburz) of Trend Zero Day Initiative"
},
"title": "Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability"
}
},
"cveMetadata": {
"assignerOrgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
"assignerShortName": "zdi",
"cveId": "CVE-2025-13708",
"datePublished": "2025-12-23T21:33:56.341Z",
"dateReserved": "2025-11-25T21:52:38.662Z",
"dateUpdated": "2025-12-30T21:23:42.843Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}