CVE-2026-21061 Samsung Mobile CVE debrief

Who should care

Users of Samsung devices with the Dialer application, administrators of Samsung device deployments, and security teams responsible for patching and vulnerability management should be aware of this vulnerability. They should review the supplied official advisory or CVE record, plan vendor-supported updates or mitigations, and monitor for suspicious activity related to the vulnerability. The vulnerability has a medium CVSS score of 6.0 and requires user interaction to be triggered, indicating a moderate level of risk.

Technical summary

The vulnerability is caused by improper input validation in the Samsung Dialer application prior to SMR Aug-2026 Release 1. This allows remote attackers to access SIM-related functions, but user interaction is required to trigger the vulnerability. The affected product is the Samsung Dialer application, and the vulnerability has a medium CVSS score of 6.0. The technical impact is that remote attackers can access SIM-related functions, but the exact defensive impact is unclear.

Defensive priority

This vulnerability has a medium CVSS score of 6.0 and requires user interaction to be triggered, indicating a moderate level of risk.

Recommended defensive actions

• Verify the Samsung Dialer application is up-to-date with the latest security patches.
• Restrict access to sensitive SIM-related functions.
• Monitor for suspicious activity related to the vulnerability.

Evidence notes

The CVE record and NVD entry provide limited information about the vulnerability. Further investigation is needed to determine the full scope of the vulnerability and potential impact. The Samsung Dialer application is used on Samsung devices, and the vulnerability allows remote attackers to access SIM-related functions. However, the exact affected scope and potential impact are unclear. Defenders should verify the affected product deployments, review the supplied official advisory or CVE record, and plan vendor-supported updates or mitigations.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.