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GSD-2023-25511

Vulnerability from gsd - Updated: 2023-12-13 01:20
Details
NVIDIA CUDA Toolkit for Linux and Windows contains a vulnerability in cuobjdump, where a division-by-zero error may enable a user to cause a crash, which may lead to a limited denial of service.
Aliases
Aliases

{
  "GSD": {
    "alias": "CVE-2023-25511",
    "id": "GSD-2023-25511"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2023-25511"
      ],
      "details": "NVIDIA CUDA Toolkit for Linux and Windows contains a vulnerability in cuobjdump, where a division-by-zero error may enable a user to cause a crash, which may lead to a limited denial of service.",
      "id": "GSD-2023-25511",
      "modified": "2023-12-13T01:20:40.561204Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "psirt@nvidia.com",
        "ID": "CVE-2023-25511",
        "STATE": "PUBLIC"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "NVIDIA CUDA Toolkit",
                    "version": {
                      "version_data": [
                        {
                          "version_affected": "=",
                          "version_value": "All versions prior to 12.1 Update 1"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "NVIDIA"
            }
          ]
        }
      },
      "data_format": "MITRE",
      "data_type": "CVE",
      "data_version": "4.0",
      "description": {
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          }
        ]
      },
      "generator": {
        "engine": "Vulnogram 0.1.0-dev"
      },
      "impact": {
        "cvss": [
          {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "LOW",
            "baseScore": 3.3,
            "baseSeverity": "LOW",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
            "version": "3.1"
          }
        ]
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "cweId": "CWE-369",
                "lang": "eng",
                "value": "CWE-369 Divide By Zero"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://nvidia.custhelp.com/app/answers/detail/a_id/5456",
            "refsource": "MISC",
            "url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5456"
          }
        ]
      },
      "source": {
        "discovery": "UNKNOWN"
      }
    },
    "nvd.nist.gov": {
      "configurations": {
        "CVE_data_version": "4.0",
        "nodes": [
          {
            "children": [
              {
                "children": [],
                "cpe_match": [
                  {
                    "cpe23Uri": "cpe:2.3:a:nvidia:cuda_toolkit:*:*:*:*:*:*:*:*",
                    "cpe_name": [],
                    "versionEndExcluding": "12.1.1",
                    "vulnerable": true
                  }
                ],
                "operator": "OR"
              },
              {
                "children": [],
                "cpe_match": [
                  {
                    "cpe23Uri": "cpe:2.3:o:linux:linux_kernel:-:*:*:*:*:*:*:*",
                    "cpe_name": [],
                    "vulnerable": false
                  },
                  {
                    "cpe23Uri": "cpe:2.3:o:microsoft:windows:-:*:*:*:*:*:*:*",
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                "operator": "OR"
              }
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            "cpe_match": [],
            "operator": "AND"
          }
        ]
      },
      "cve": {
        "CVE_data_meta": {
          "ASSIGNER": "psirt@nvidia.com",
          "ID": "CVE-2023-25511"
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "en",
              "value": "NVIDIA CUDA Toolkit for Linux and Windows contains a vulnerability in cuobjdump, where a division-by-zero error may enable a user to cause a crash, which may lead to a limited denial of service."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "en",
                  "value": "CWE-369"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://nvidia.custhelp.com/app/answers/detail/a_id/5456",
              "refsource": "MISC",
              "tags": [
                "Vendor Advisory"
              ],
              "url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5456"
            }
          ]
        }
      },
      "impact": {
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "LOW",
            "baseScore": 3.3,
            "baseSeverity": "LOW",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
            "version": "3.1"
          },
          "exploitabilityScore": 1.8,
          "impactScore": 1.4
        }
      },
      "lastModifiedDate": "2023-05-02T14:33Z",
      "publishedDate": "2023-04-22T03:15Z"
    }
  }
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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