Vulnerability-Lookup

VAR-202211-0614

Vulnerability from variot - Updated: 2024-08-14 15:21

Improper input validation vulnerability for processing SIB12 PDU in Exynos modems prior to SMR Sep-2022 Release allows remote attacker to read out of bounds memory. Samsung's exynos An out-of-bounds read vulnerability exists in firmware.Information is obtained and service operation is interrupted (DoS) It may be in a state

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CVE-2022-39881 (GCVE-0-2022-39881)

Vulnerability from cvelistv5 – Published: 2022-11-09 00:00 – Updated: 2025-05-01 19:34

Summary

Improper input validation vulnerability for processing SIB12 PDU in Exynos modems prior to SMR Sep-2022 Release allows remote attacker to read out of bounds memory.

Severity

5.3 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-05-01 19:34 UTC

CWE

CWE-20 - Improper Input Validation

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…

Impacted products

1 product

Vendor	Product	Version
Samsung Mobile	Samsung Mobile Devices	Affected: Select devices using Exynos CP chipsets , < SMR Nov-2022 Release 1 (custom)

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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.

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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