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VAR-202206-0676

Vulnerability from variot - Updated: 2023-12-18 14:03

Information exposure vulnerability in SemIWCMonitor prior to SMR Jun-2022 Release 1 allows local attackers to get MAC address information. Google of Android Exists in a vulnerability related to the leakage of resources to the wrong area.Information may be obtained. Samsung mobile is a mobile phone from Samsung (Samsung) in South Korea.

An information disclosure vulnerability exists in Samsung mobile SemIWCMonitor, which is caused by a misconfiguration of the network system or product during operation

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CVE-2022-30714 (GCVE-0-2022-30714)

Vulnerability from cvelistv5 – Published: 2022-06-07 17:55 – Updated: 2024-08-03 06:56

Summary

Information exposure vulnerability in SemIWCMonitor prior to SMR Jun-2022 Release 1 allows local attackers to get MAC address information.

Severity

1.9 (Low)


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

CWE

CWE-213 - Exposure of Sensitive Information Due to Incompatible Policies

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: Q(10), R(11), S(12) , < SMR Jun-2022 Release 1 (custom)

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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

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