Vulnerability-Lookup

VAR-202206-0730

Vulnerability from variot - Updated: 2024-11-23 21:50

Implicit Intent hijacking vulnerability in Samsung Account prior to version 13.2.00.6 allows attackers to get email ID. Samsung Account is a mobile account feature for Samsung mobile devices. The vulnerability stems from not properly securing email IDs in Samsung Accounts. An attacker could exploit this vulnerability to obtain email IDs

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CVE-2022-30737 (GCVE-0-2022-30737)

Vulnerability from cvelistv5 – Published: 2022-06-07 18:16 – Updated: 2024-08-03 06:56

Summary

Implicit Intent hijacking vulnerability in Samsung Account prior to version 13.2.00.6 allows attackers to get email ID.

Severity

4 (Medium)


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

CWE

CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor

Assigner

Samsung Mobile CNA

CNA scorecard – unranked: 0 records in the last 180 days, 10 needed details

References

1 reference

URL	Tags
https://security.samsungmobile.com/serviceWeb.sms…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Samsung Mobile	Samsung Account	Affected: unspecified , < 13.2.00.6 (custom)

Show details on NVD website

JSON

To clipboard

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              "lang": "eng",
              "value": "Implicit Intent hijacking vulnerability in Samsung Account prior to version 13.2.00.6 allows attackers to get email ID."
            }
          ]
        },
        "impact": {
          "cvss": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "NONE",
            "baseScore": 4,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
            "version": "3.1"
          }
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "CWE-200 Exposure of Sensitive Information to an Unauthorized Actor"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://security.samsungmobile.com/serviceWeb.smsb?year=2022\u0026month=6",
              "refsource": "MISC",
              "url": "https://security.samsungmobile.com/serviceWeb.smsb?year=2022\u0026month=6"
            }
          ]
        },
        "source": {
          "discovery": "UNKNOWN"
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "3af57064-a867-422c-b2ad-40307b65c458",
    "assignerShortName": "Samsung Mobile",
    "cveId": "CVE-2022-30737",
    "datePublished": "2022-06-07T18:16:51.000Z",
    "dateReserved": "2022-05-16T00:00:00.000Z",
    "dateUpdated": "2024-08-03T06:56:14.051Z",
    "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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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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