CVE-2025-13708

Estado: AplazadaAlta (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.

CVSS

Versión: 3.0
Vector: CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Puntuación base: 7.8

Probabilidad de explotación (EPSS)

Probabilidad de explotación en los próximos 30 días: 0.51%
Percentil entre todas las CVEs puntuadas: 42
Fecha de la puntuación: 6/10/2026

EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).

🎯 Técnicas ATT&CK

Cómo se explota esta vulnerabilidad y qué consigue el atacante, en el lenguaje de MITRE ATT&CK.

ExplotaciónT1203 Exploitation for Client Executionexecution95 %
Impacto principalT1059 Command and Scripting Interpreterexecution90 %
Impacto secundarioT1068 Exploitation for Privilege Escalationprivilege escalation85 %

AV:L + UI:R indica explotación en el cliente (abrir archivo malicioso); CWE-502 (deserialización) + RCE permite ejecución de código en contexto root, resultando en escalada de privilegios.

Inferido por nuestro agente de análisis a partir de la descripción oficial, el vector CVSS y la CWE, y comprobado por un supervisor. Puede contener errores.

🛡️ Mitigaciones ATT&CK que cubren estas técnicas

Execution Prevention Application Isolation and Sandboxing Exploit Protection Update Software Threat Intelligence Program Restrict Web-Based Content

Tecnologías afectadas (1)

⚠ Inferidas por IA a partir de la descripción — NVD aún no ha analizado esta CVE; no son CPE verificados.

Tencent — Neuralnlp-neuralclassifier^AI

CWE

CWE-502

Referencias

JSON original (NVD)

Mostrar

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        "ssvcData": {
          "id": "CVE-2025-13708",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
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          ],
          "version": "2.0.3",
          "timestamp": "2025-12-30T21:23:34.328466Z"
        }
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    "cvssMetricV30": [
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          "integrityImpact": "HIGH",
          "userInteraction": "REQUIRED",
          "attackComplexity": "LOW",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "confidentialityImpact": "HIGH"
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        "impactScore": 5.9,
        "exploitabilityScore": 1.8
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  "affected": [
    {
      "source": "zdi-disclosures@trendmicro.com",
      "affectedData": [
        {
          "vendor": "Tencent",
          "product": "NeuralNLP-NeuralClassifier",
          "versions": [
            {
              "status": "affected",
              "version": "Current"
            }
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          "defaultStatus": "unknown"
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  "published": "2025-12-23T22:15:45.443",
  "references": [
    {
      "url": "https://github.com/Tencent/NeuralNLP-NeuralClassifier/commit/8dea5ffdb45cf0a33b3d116de38507afaee87594",
      "source": "zdi-disclosures@trendmicro.com"
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    {
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-25-1033/",
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      "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."
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  ],
  "lastModified": "2026-06-17T08:34:37.323",
  "sourceIdentifier": "zdi-disclosures@trendmicro.com"
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