Vulnerability-Lookup

VAR-202110-0159

Vulnerability from variot - Updated: 2024-08-14 14:03

A possible heap-based buffer overflow vulnerability in Exynos CP Chipset prior to SMR Oct-2021 Release 1 allows arbitrary memory write and code execution. Samsung LTE RRC is a protocol in Samsung mobile devices. The RRC word layer has many functions, including the broadcast of non-access stratum (NAS) related system information, the broadcast of access stratum (AS) related system information, and paging , establishing, maintaining and releasing the RRC connection between the UE and the E-UTRAN

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CVE-2021-25479 (GCVE-0-2021-25479)

Vulnerability from cvelistv5 – Published: 2021-10-06 17:09 – Updated: 2024-08-03 20:03

Summary

A possible heap-based buffer overflow vulnerability in Exynos CP Chipset prior to SMR Oct-2021 Release 1 allows arbitrary memory write and code execution.

Severity

7.2 (High)


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

CWE

CWE-122 - Heap-based Buffer Overflow

Assigner

Samsung Mobile

References

1 reference

URL	Tags
https://security.samsungmobile.com/securityUpdate…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Samsung Mobile	Samsung Mobile Devices	Affected: O(8.1), P(9.0), Q(10.0), R(11.0) , < SMR Oct-2021 Release 1 (custom)

Show details on NVD website

JSON

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            "baseScore": 7.2,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "HIGH",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          }
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "CWE-122: Heap-based Buffer Overflow"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://security.samsungmobile.com/securityUpdate.smsb?year=2021\u0026month=10",
              "refsource": "MISC",
              "url": "https://security.samsungmobile.com/securityUpdate.smsb?year=2021\u0026month=10"
            }
          ]
        },
        "source": {
          "discovery": "UNKNOWN"
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "3af57064-a867-422c-b2ad-40307b65c458",
    "assignerShortName": "Samsung Mobile",
    "cveId": "CVE-2021-25479",
    "datePublished": "2021-10-06T17:09:19.000Z",
    "dateReserved": "2021-01-19T00:00:00.000Z",
    "dateUpdated": "2024-08-03T20:03:05.748Z",
    "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.

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.

Action not permitted

VAR-202110-0159

CVE-2021-25479 (GCVE-0-2021-25479)

Tags

Sightings

Nomenclature

Related by attack behaviour