Vulnerability-Lookup

VAR-202004-0363

Vulnerability from variot - Updated: 2023-12-18 13:23

Buffer overflow in Intel(R) Modular Server MFS2600KISPP Compute Module may allow an unauthenticated user to potentially enable denial of service via adjacent access. Intel Modular Server MFS2600KISPP Compute Module is a computing module of American Intel Corporation. A remote attacker can exploit the vulnerability with a specially crafted request to cause a denial of service

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CVE-2020-0576 (GCVE-0-2020-0576)

Vulnerability from cvelistv5 – Published: 2020-04-15 16:58 – Updated: 2024-08-04 06:02

Summary

Buffer overflow in Intel(R) Modular Server MFS2600KISPP Compute Module may allow an unauthenticated user to potentially enable denial of service via adjacent access.

Severity

No CVSS data available.

CWE

Denial of Service

Assigner

intel mitre root Scorecard

References

1 reference

URL	Tags
https://www.intel.com/content/www/us/en/security-…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	Intel(R) Modular Server Compute Module	Affected: See provided reference

Show details on NVD website

JSON

To clipboard

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                          {
                            "version_value": "See provided reference"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "n/a"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "Buffer overflow in Intel(R) Modular Server MFS2600KISPP Compute Module may allow an unauthenticated user to potentially enable denial of service via adjacent access."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "Denial of Service"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-00351.html",
              "refsource": "MISC",
              "url": "https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-00351.html"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "6dda929c-bb53-4a77-a76d-48e79601a1ce",
    "assignerShortName": "intel",
    "cveId": "CVE-2020-0576",
    "datePublished": "2020-04-15T16:58:37.000Z",
    "dateReserved": "2019-10-28T00:00:00.000Z",
    "dateUpdated": "2024-08-04T06:02:52.349Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

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.

Action not permitted

VAR-202004-0363

CVE-2020-0576 (GCVE-0-2020-0576)

Tags

Sightings

Nomenclature

Related by attack behaviour