Vulnerability-Lookup

VAR-202209-0676

Vulnerability from variot - Updated: 2023-12-18 13:11

DLL hijacking vulnerability in Smart Switch PC prior to version 4.3.22083_3 allows attacker to execute arbitrary code. Samsung's smart switch pc Exists in a vulnerability in an element of an uncontrolled search path.Information is obtained, information is tampered with, and service operation is interrupted. (DoS) It may be in a state

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CVE-2022-39846 (GCVE-0-2022-39846)

Vulnerability from cvelistv5 – Published: 2022-09-09 14:39 – Updated: 2024-08-03 12:07

Summary

DLL hijacking vulnerability in Smart Switch PC prior to version 4.3.22083_3 allows attacker to execute arbitrary code.

Severity

6.2 (Medium)


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

CWE

CWE-427 - Uncontrolled Search Path Element

Assigner

Samsung Mobile

References

1 reference

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

Impacted products

1 product

Vendor	Product	Version
Samsung Mobile	Smart Switch PC	Affected: unspecified , < 4.3.22083_3 (custom)

Show details on NVD website

JSON

To clipboard

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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

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.