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PatchSiren cyber security CVE debrief

CVE-2026-11448 GL.iNet CVE debrief

A weakness has been identified in GL.iNet GL-MT3000 up to 4.4.5. The affected element is the function realpath of the file /rpc of the component Minidlna Service. This manipulation of the argument kube. set causes command injection. The attack is possible to be carried out remotely. Upgrading to version 4.7 is sufficient to fix this issue. It is recommended to upgrade the affected component. The vendor confirms: 'Starting from version 4.7, SDK has added global protection to intercept malicious injection'.

Vendor
GL.iNet
Product
GL-MT3000
CVSS
MEDIUM 5.1
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-07
Original CVE updated
2026-07-23
Advisory published
2026-06-07
Advisory updated
2026-07-23

Who should care

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

Technical summary

The vulnerability exists in the Minidlna Service of GL.iNet GL-MT3000 up to version 4.4.5. Specifically, the realpath function in the /rpc file is vulnerable to command injection when the kube.set argument is manipulated. This can be exploited remotely.

Defensive priority

MEDIUM

Recommended defensive actions

  • Upgrade GL.iNet GL-MT3000 to version 4.7 or later.

Evidence notes

The CVE record was published on [cve-org](https://www.cve.org/CVERecord?id=CVE-2026-11448). Additional details can be found on [nvd](https://nvd.nist.gov/vuln/detail/CVE-2026-11448).

Sources and references

Verified primary and authoritative sources

  • CVE-2026-11448 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-11448

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

  • CVE-2026-11448 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-11448

    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.