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2 vulnerabilities found for NeuralNLP-NeuralClassifier by Tencent

CVE-2025-13708 (GCVE-0-2025-13708)
Vulnerability from nvd
Published
2025-12-23 21:33
Modified
2025-12-23 21:33
Severity ?
7.8 (High) - CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE
  • CWE-502 - Deserialization of Untrusted Data
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.
References
Impacted products
Vendor Product Version
Tencent NeuralNLP-NeuralClassifier Version: Current
 Create a notification for this product.
Show details on NVD website

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{
  "containers": {
    "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": "2025-12-23T21:33:56.341Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

CVE-2025-13708 (GCVE-0-2025-13708)
Vulnerability from cvelistv5
Published
2025-12-23 21:33
Modified
2025-12-23 21:33
Severity ?
7.8 (High) - CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE
  • CWE-502 - Deserialization of Untrusted Data
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.
References
Impacted products
Vendor Product Version
Tencent NeuralNLP-NeuralClassifier Version: Current
 Create a notification for this product.
Show details on NVD website

To clipboard 

{
  "containers": {
    "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": "2025-12-23T21:33:56.341Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}