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VAR-202201-0999

Vulnerability from variot - Updated: 2024-11-23 22:25

A missing input validation before memory copy in TIMA trustlet prior to SMR Jan-2022 Release 1 allows attackers to copy data from arbitrary memory. Android There is an input validation vulnerability in.Information may be obtained. Samsung TIMA TA is a keystore for Samsung mobile devices

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CVE-2022-22271 (GCVE-0-2022-22271)

Vulnerability from cvelistv5 – Published: 2022-01-07 22:39 – Updated: 2024-08-03 03:07

Summary

A missing input validation before memory copy in TIMA trustlet prior to SMR Jan-2022 Release 1 allows attackers to copy data from arbitrary memory.

Severity

5.5 (Medium)


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

CWE

CWE-125 - Out-of-bounds Read

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: P(9.0), Q(10.0), R(11.0) , < SMR Jan-2022 Release 1 (custom)

Show details on NVD website

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            "url": "https://security.samsungmobile.com/securityUpdate.smsb?year=2022\u0026month=1"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "vendor": "Samsung Mobile",
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        {
          "lang": "en",
          "value": "A missing input validation before memory copy in TIMA trustlet prior to SMR Jan-2022 Release 1 allows attackers to copy data from arbitrary memory."
        }
      ],
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            "availabilityImpact": "NONE",
            "baseScore": 5.5,
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            "confidentialityImpact": "HIGH",
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            "scope": "UNCHANGED",
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          }
        }
      ],
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            {
              "cweId": "CWE-125",
              "description": "CWE-125: Out-of-bounds Read",
              "lang": "en",
              "type": "CWE"
            }
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        "dateUpdated": "2022-01-07T22:39:18.000Z",
        "orgId": "3af57064-a867-422c-b2ad-40307b65c458",
        "shortName": "Samsung Mobile"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://security.samsungmobile.com/securityUpdate.smsb?year=2022\u0026month=1"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "mobile.security@samsung.com",
          "ID": "CVE-2022-22271",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "Samsung Mobile Devices",
                      "version": {
                        "version_data": [
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                            "version_affected": "\u003c",
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                            "version_value": "SMR Jan-2022 Release 1"
                          }
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                      }
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                "vendor_name": "Samsung Mobile"
              }
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        },
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              "url": "https://security.samsungmobile.com/securityUpdate.smsb?year=2022\u0026month=1"
            }
          ]
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        "source": {
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  "cveMetadata": {
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    "assignerShortName": "Samsung Mobile",
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    "dateReserved": "2021-12-29T00:00:00.000Z",
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}

Sightings

Author	Source	Type	Date	Other

Nomenclature

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Confirmed: The vulnerability has been validated from an analyst's perspective.
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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.

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VAR-202201-0999

CVE-2022-22271 (GCVE-0-2022-22271)

Tags

Sightings

Nomenclature

Related by attack behaviour