CVE-2026-50144

{
  "id": "CVE-2026-50144",
  "sourceIdentifier": "[email protected]",
  "published": "2026-07-15T20:17:13.500",
  "lastModified": "2026-10-24T21:10:00.130",
  "vulnStatus": "Awaiting Analysis",
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "ncnn is a high-performance neural network inference framework optimized for the mobile platform. In commit e54f7b1f88434e1d844ea0551b880a1cfb079ce1 and earlier, ncnn allows an out-of-bounds heap write in ncnn::ParamDict::load_param() when Net::load_param() loads a malicious .param model file because the parsed parameter id is checked only against id >= NCNN_MAX_PARAM_COUNT, allowing a negative id to index before the params[NCNN_MAX_PARAM_COUNT] array. This vulnerability is fixed by commit 5a0288f255daa6c3294f77109f67718e434ec020."
    },
    {
      "lang": "es",
      "value": "ncnn es un framework de inferencia de redes neuronales de alto rendimiento optimizado para la plataforma móvil. En el commit e54f7b1f88434e1d844ea0551b880a1cfb079ce1 y anteriores, ncnn permite una escritura fuera de límites en el heap (out-of-bounds heap write) en ncnn::ParamDict::load_param() cuando Net::load_param() carga un archivo de modelo .param malicioso porque el ID del parámetro analizado se verifica solo contra id >= NCNN_MAX_PARAM_COUNT, lo que permite que un ID negativo indexe antes del array params[NCNN_MAX_PARAM_COUNT]. Esta vulnerabilidad se corrige con el commit 5a0288f255daa6c3294f77109f67718e434ec020."
    }
  ],
  "affected": [
    {
      "source": "[email protected]",
      "affectedData": [
        {
          "vendor": "Tencent",
          "product": "ncnn",
          "versions": [
            {
              "version": "< 5a0288f255daa6c3294f77109f67718e434ec020",
              "status": "affected"
            },
            {
              "version": "<= 20260526",
              "status": "affected"
            }
          ]
        }
      ]
    }
  ],
  "metrics": {
    "cvssMetricV31": [
      {
        "source": "[email protected]",
        "type": "Secondary",
        "cvssData": {
          "version": "3.1",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
          "baseScore": 7.1,
          "baseSeverity": "HIGH",
          "attackVector": "LOCAL",
          "attackComplexity": "LOW",
          "privilegesRequired": "NONE",
          "userInteraction": "REQUIRED",
          "scope": "UNCHANGED",
          "confidentialityImpact": "NONE",
          "integrityImpact": "HIGH",
          "availabilityImpact": "HIGH"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 5.2
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "timestamp": "2026-07-17T12:27:05.477293Z",
          "id": "CVE-2026-50144",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "version": "2.0.3"
        }
      }
    ]
  },
  "weaknesses": [
    {
      "source": "[email protected]",
      "type": "Secondary",
      "description": [
        {
          "lang": "en",
          "value": "CWE-20"
        },
        {
          "lang": "en",
          "value": "CWE-129"
        },
        {
          "lang": "en",
          "value": "CWE-787"
        }
      ]
    }
  ],
  "references": [
    {
      "url": "https://github.com/Tencent/ncnn/commit/5a0288f255daa6c3294f77109f67718e434ec020",
      "source": "[email protected]"
    },
    {
      "url": "https://github.com/Tencent/ncnn/security/advisories/GHSA-jxmc-3mv6-7pwr",
      "source": "[email protected]"
    },
    {
      "url": "https://github.com/Tencent/ncnn/security/advisories/GHSA-jxmc-3mv6-7pwr",
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
    }
  ]
}