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CVE-2026-76395

Estado: AnalizadaAlta (8.8)—

In Splunk AI Toolkit versions below 6.0.0, a user who holds the "power" Splunk role could execute arbitrary code on the Splunk server by loading a model file containing crafted sparse matrix data. The deserialization of untrusted data is possible because a model codec in Splunk AI Toolkit deserializes sparse matrix data without guarding against embedded pickle content. For more information see Troubleshoot the Splunk Machine Learning Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/machine-learning-toolkit-user-guide/5.5.0/troubleshooting-mltk/troubleshoot-the-splunk-machine-learning-toolkit) in the Splunk documentation.

CVSS

Probabilidad de explotación (EPSS)

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.

Vector AV:N/PR:L sugiere acceso remoto con privilegios (power role); CWE-502 (deserialización insegura de pickle) permite ejecución arbitraria de código. T1210 por ser explotación de servicio remoto con credenciales; T1059 por code execution explícita; T1068 como impacto secundario por potencial esc

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

Threat Intelligence ProgramPrivileged Account ManagementExecution PreventionDisable or Remove Feature or ProgramApplication Isolation and SandboxingExploit Protection

Tecnologías afectadas (1)

Splunk — AI Toolkit

CWE

Referencias

JSON original (NVD)

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{
  "id": "CVE-2026-76395",
  "cveTags": [],
  "metrics": {
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      {
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          "id": "CVE-2026-76395",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2026-08-26T19:42:32.879256Z"
        }
      }
    ],
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        "cvssData": {
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          "version": "3.1",
          "baseScore": 8.8,
          "attackVector": "NETWORK",
          "baseSeverity": "HIGH",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "integrityImpact": "HIGH",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "HIGH"
        },
        "impactScore": 5.9,
        "exploitabilityScore": 2.8
      }
    ]
  },
  "affected": [
    {
      "source": "psirt@cisco.com",
      "affectedData": [
        {
          "vendor": "Splunk",
          "product": "Splunk AI Toolkit",
          "versions": [
            {
              "status": "affected",
              "version": "5.7",
              "lessThan": "6.0.0",
              "versionType": "custom"
            }
          ]
        }
      ]
    }
  ],
  "published": "2026-08-19T22:17:26.023",
  "references": [
    {
      "url": "https://advisory.splunk.com/advisories/SVD-2026-0808",
      "tags": [
        "Vendor Advisory"
      ],
      "source": "psirt@cisco.com"
    }
  ],
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "psirt@cisco.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "In Splunk AI Toolkit versions below 6.0.0, a user who holds the \"power\" Splunk role could execute arbitrary code on the Splunk server by loading a model file containing crafted sparse matrix data. The deserialization of untrusted data is possible because a model codec in Splunk AI Toolkit deserializes sparse matrix data without guarding against embedded pickle content. For more information see Troubleshoot the Splunk Machine Learning Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/machine-learning-toolkit-user-guide/5.5.0/troubleshooting-mltk/troubleshoot-the-splunk-machine-learning-toolkit) in the Splunk documentation."
    }
  ],
  "lastModified": "2026-08-26T20:18:01.200",
  "configurations": [
    {
      "nodes": [
        {
          "negate": false,
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:splunk:ai_toolkit:*:*:*:*:*:*:*:*",
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              "versionEndExcluding": "6.0.0",
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            }
          ],
          "operator": "OR"
        }
      ]
    }
  ],
  "sourceIdentifier": "psirt@cisco.com"
}