GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CVE-2024-0146 (GCVE-0-2024-0146)

Vulnerability from cvelistv5 – Published: 2025-01-28 04:09 – Updated: 2025-01-28 15:14
VLAI
Summary
NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager, where a malicious guest could cause memory corruption. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, or data tampering.
Severity
7.8 (High)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-28 15:14 UTC
CWE
  • CWE-120 - Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')
Assigner
References
Impacted products
Vendor Product Version CPE status
NVIDIA NVIDIA vGPU software Affected: R530, R535
guessed Create a notification for this product.
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-0146",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-01-28T15:14:02.105388Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-01-28T15:14:22.830Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "NVIDIA vGPU software",
          "vendor": "NVIDIA",
          "versions": [
            {
              "status": "affected",
              "version": "R530, R535"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager, where a malicious guest could cause memory corruption. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, or data tampering."
            }
          ],
          "value": "NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager, where a malicious guest could cause memory corruption. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, or data tampering."
        }
      ],
      "impacts": [
        {
          "descriptions": [
            {
              "lang": "en",
              "value": "Code execution, denial of service, information disclosure, data tampering"
            }
          ]
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-120",
              "description": "CWE-120 Buffer Copy without Checking Size of Input (\u0027Classic Buffer Overflow\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-01-28T04:09:24.737Z",
        "orgId": "9576f279-3576-44b5-a4af-b9a8644b2de6",
        "shortName": "nvidia"
      },
      "references": [
        {
          "url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5614"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "x_generator": {
        "engine": "Vulnogram 0.2.0"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "9576f279-3576-44b5-a4af-b9a8644b2de6",
    "assignerShortName": "nvidia",
    "cveId": "CVE-2024-0146",
    "datePublished": "2025-01-28T04:09:24.737Z",
    "dateReserved": "2023-12-02T00:42:57.162Z",
    "dateUpdated": "2025-01-28T15:14:22.830Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2024-0146",
      "date": "2026-09-15",
      "epss": "0.00193",
      "percentile": "0.09109"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2024-0146\",\"sourceIdentifier\":\"psirt@nvidia.com\",\"published\":\"2025-01-28T04:15:09.447\",\"lastModified\":\"2026-06-17T06:52:52.180\",\"vulnStatus\":\"Deferred\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager, where a malicious guest could cause memory corruption. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, or data tampering.\"},{\"lang\":\"es\",\"value\":\"El software NVIDIA vGPU contiene una vulnerabilidad en el Administrador de GPU virtual, donde un invitado malintencionado podr\u00eda provocar da\u00f1os en la memoria. Una explotaci\u00f3n exitosa de esta vulnerabilidad podr\u00eda provocar la ejecuci\u00f3n de c\u00f3digo, la denegaci\u00f3n de servicio, la divulgaci\u00f3n de informaci\u00f3n o la manipulaci\u00f3n de datos.\"}],\"affected\":[{\"source\":\"psirt@nvidia.com\",\"affectedData\":[{\"vendor\":\"NVIDIA\",\"product\":\"NVIDIA vGPU software\",\"defaultStatus\":\"unaffected\",\"versions\":[{\"version\":\"R530, R535\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"psirt@nvidia.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H\",\"baseScore\":7.8,\"baseSeverity\":\"HIGH\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":1.8,\"impactScore\":5.9}],\"ssvcV203\":[{\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"ssvcData\":{\"timestamp\":\"2025-01-28T15:14:02.105388Z\",\"id\":\"CVE-2024-0146\",\"options\":[{\"exploitation\":\"none\"},{\"automatable\":\"no\"},{\"technicalImpact\":\"total\"}],\"role\":\"CISA Coordinator\",\"version\":\"2.0.3\"}}]},\"weaknesses\":[{\"source\":\"psirt@nvidia.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-120\"}]}],\"references\":[{\"url\":\"https://nvidia.custhelp.com/app/answers/detail/a_id/5614\",\"source\":\"psirt@nvidia.com\"}]}}",
    "redhat_vex": {
      "current_release_date": "2025-05-28T18:53:03+00:00",
      "cve": "CVE-2024-0146",
      "id": "CVE-2024-0146",
      "initial_release_date": "2024-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "CVE-2024-0146",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2024/cve-2024-0146.json",
      "version": "3"
    },
    "vulnrichment": {
      "containers": "{\"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2024-0146\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"total\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-01-28T15:14:02.105388Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-01-28T15:14:15.265Z\"}}], \"cna\": {\"source\": {\"discovery\": \"UNKNOWN\"}, \"impacts\": [{\"descriptions\": [{\"lang\": \"en\", \"value\": \"Code execution, denial of service, information disclosure, data tampering\"}]}], \"metrics\": [{\"format\": \"CVSS\", \"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 7.8, \"attackVector\": \"LOCAL\", \"baseSeverity\": \"HIGH\", \"vectorString\": \"CVSS:3.1/AV:L/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\"}, \"scenarios\": [{\"lang\": \"en\", \"value\": \"GENERAL\"}]}], \"affected\": [{\"vendor\": \"NVIDIA\", \"product\": \"NVIDIA vGPU software\", \"versions\": [{\"status\": \"affected\", \"version\": \"R530, R535\"}], \"defaultStatus\": \"unaffected\"}], \"references\": [{\"url\": \"https://nvidia.custhelp.com/app/answers/detail/a_id/5614\"}], \"x_generator\": {\"engine\": \"Vulnogram 0.2.0\"}, \"descriptions\": [{\"lang\": \"en\", \"value\": \"NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager, where a malicious guest could cause memory corruption. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, or data tampering.\", \"supportingMedia\": [{\"type\": \"text/html\", \"value\": \"NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager, where a malicious guest could cause memory corruption. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, or data tampering.\", \"base64\": false}]}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-120\", \"description\": \"CWE-120 Buffer Copy without Checking Size of Input (\u0027Classic Buffer Overflow\u0027)\"}]}], \"providerMetadata\": {\"orgId\": \"9576f279-3576-44b5-a4af-b9a8644b2de6\", \"shortName\": \"nvidia\", \"dateUpdated\": \"2025-01-28T04:09:24.737Z\"}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2024-0146\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2025-01-28T15:14:22.830Z\", \"dateReserved\": \"2023-12-02T00:42:57.162Z\", \"assignerOrgId\": \"9576f279-3576-44b5-a4af-b9a8644b2de6\", \"datePublished\": \"2025-01-28T04:09:24.737Z\", \"assignerShortName\": \"nvidia\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.


Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.