{
  "containers": {
    "cna": {
      "affected": [
        {
          "product": "ncnn",
          "vendor": "Tencent",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 5a0288f255daa6c3294f77109f67718e434ec020"
            },
            {
              "status": "affected",
              "version": "\u003c= 20260526"
            }
          ]
        }
      ],
      "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 \u003e= 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."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.1,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "NONE",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-20",
              "description": "CWE-20: Improper Input Validation",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
              "cweId": "CWE-129",
              "description": "CWE-129: Improper Validation of Array Index",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
              "cweId": "CWE-787",
              "description": "CWE-787: Out-of-bounds Write",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-07-15T20:04:07.099Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/Tencent/ncnn/security/advisories/GHSA-jxmc-3mv6-7pwr",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/Tencent/ncnn/security/advisories/GHSA-jxmc-3mv6-7pwr"
        },
        {
          "name": "https://github.com/Tencent/ncnn/commit/5a0288f255daa6c3294f77109f67718e434ec020",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/Tencent/ncnn/commit/5a0288f255daa6c3294f77109f67718e434ec020"
        }
      ],
      "source": {
        "advisory": "GHSA-jxmc-3mv6-7pwr",
        "discovery": "UNKNOWN"
      },
      "title": "ncnn: Out-of-bounds heap write in ParamDict::load_param via unchecked negative parameter id"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-50144",
    "datePublished": "2026-07-15T20:04:07.099Z",
    "dateReserved": "2026-06-03T18:49:32.275Z",
    "dateUpdated": "2026-07-15T20:04:07.099Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2026-50144",
      "date": "2026-06-14",
      "epss": "0.00018",
      "percentile": "0.05191"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2026-50144\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2026-07-15T20:17:13.500\",\"lastModified\":\"2026-07-15T20:18:23.677\",\"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 \u003e= 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.\"}],\"affected\":[{\"source\":\"security-advisories@github.com\",\"affectedData\":[{\"vendor\":\"Tencent\",\"product\":\"ncnn\",\"versions\":[{\"version\":\"\u003c 5a0288f255daa6c3294f77109f67718e434ec020\",\"status\":\"affected\"},{\"version\":\"\u003c= 20260526\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"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}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Primary\",\"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\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/Tencent/ncnn/security/advisories/GHSA-jxmc-3mv6-7pwr\",\"source\":\"security-advisories@github.com\"}]}}"
  }
}