Vulnerability-Lookup

VAR-202201-1000

Vulnerability from variot - Updated: 2025-02-10 23:43

Implicit Intent hijacking vulnerability in ActivityMetricsLogger prior to SMR Jan-2022 Release 1 allows attackers to get running application information. Android Exists in a vulnerability in externally accessible files or directories.Information may be obtained. Samsung ActivityMetricsLogger is a progress measurement recorder for Samsung mobile devices.

Samsung ActivityMetricsLogger has an unauthorized access vulnerability

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CVE-2022-22267 (GCVE-0-2022-22267)

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

Summary

Implicit Intent hijacking vulnerability in ActivityMetricsLogger prior to SMR Jan-2022 Release 1 allows attackers to get running application information.

Severity

4 (Medium)


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

CWE

CWE-285 - Improper Authorization

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/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), S(12.0) , < SMR Jan-2022 Release 1 (custom)

Show details on NVD website

JSON

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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.

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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.
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