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PatchSiren cyber security CVE debrief

CVE-2026-12187 GL.iNet CVE debrief

A security vulnerability has been detected in GL.iNet GL-MT3000 up to 4.4.5. Affected by this vulnerability is an unknown functionality of the file /usr/bin/one_click_upgrade of the component Online Firmware Upgrade Handler. Such manipulation leads to command injection. The attack can be launched remotely. The exploit has been disclosed publicly and may be used. Upgrading to version 4.7 addresses this issue. Upgrading the affected component is advised. The vendor was contacted early, responded in a very professional manner and quickly released a fixed version of the affected product.

Vendor
GL.iNet
Product
GL-MT3000
CVSS
HIGH 7.4
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-14
Original CVE updated
2026-06-15
Advisory published
2026-06-14
Advisory updated
2026-06-15

Who should care

Users of GL.iNet GL-MT3000 up to version 4.4.5

Technical summary

The vulnerability affects the online firmware upgrade handler of GL.iNet GL-MT3000 up to 4.4.5, specifically the /usr/bin/one_click_upgrade file. The vulnerability allows for command injection and can be exploited remotely.

Defensive priority

HIGH

Recommended defensive actions

  • Upgrade to version 4.7 or later
  • Apply the fixed version of the affected product

Evidence notes

The vendor was contacted early and responded professionally, quickly releasing a fixed version.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-12187 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-12187

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-12187 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-12187

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental 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.