Vulnerability-Lookup

GSD-2024-0076

Vulnerability from gsd - Updated: 2023-12-13 01:21

Details

NVIDIA CUDA toolkit for all platforms contains a vulnerability in cuobjdump and nvdisasm where an attacker may cause a crash by tricking a user into reading a malformed ELF file. A successful exploit of this vulnerability may lead to a partial denial of service.

Aliases

CVE-2024-0076

Aliases

CVE-2024-0076

JSON

To clipboard

{
  "GSD": {
    "alias": "CVE-2024-0076",
    "id": "GSD-2024-0076"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2024-0076"
      ],
      "details": "\nNVIDIA CUDA toolkit for all platforms contains a vulnerability in cuobjdump and nvdisasm where an attacker may cause a crash by tricking a user into reading a malformed ELF file. A successful exploit of this vulnerability may lead to a partial denial of service.\n\n",
      "id": "GSD-2024-0076",
      "modified": "2023-12-13T01:21:42.572907Z",
      "schema_version": "1.4.0"
    }
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      "source": {
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          },
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            "value": "El kit de herramientas NVIDIA CUDA para todas las plataformas contiene una vulnerabilidad en cuobjdump y nvdisasm donde un atacante puede provocar un bloqueo enga\u00f1ando a un usuario para que lea un archivo ELF con formato incorrecto. Una explotaci\u00f3n exitosa de esta vulnerabilidad puede provocar una denegaci\u00f3n parcial de servicio."
          }
        ],
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        "lastModified": "2024-04-08T18:49:25.863",
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                "version": "3.1"
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              "impactScore": 1.4,
              "source": "psirt@nvidia.com",
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        "published": "2024-04-05T18:15:08.680",
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        ]
      }
    }
  }
}

CVE-2024-0076 (GCVE-0-2024-0076)

Vulnerability from cvelistv5 – Published: 2024-04-05 17:50 – Updated: 2024-09-04 15:03

Summary

Severity

3.3 (Low)


                        
                          CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-09-04 15:03 UTC

CWE

CWE-125 - Out-of-bounds Read

Assigner

nvidia mitre root

References

1 reference

URL	Tags
https://nvidia.custhelp.com/app/answers/detail/a_…

Impacted products

1 product

Vendor	Product	Version
NVIDIA	NVIDIA CUDA Toolkit	Affected: All versions prior to CUDA Toolkit v12.4

Show details on NVD website

JSON

To clipboard

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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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.