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VulnerabilityPublished Updated

CVE-2026-26795: GL-iNet GL-AR300M16 · Command Injection

Source CVE Database V5

0

Not known to be exploited · CVSS 9.8 Critical.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 3.1 base score
9.8Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
2.5% chance of exploitation in 30 days – higher than 85% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 12 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

AI-suggested

  1. Immediately isolate affected GL-iNet GL-AR300M16 devices from untrusted networks until a patch or firmware update is available.
  2. Monitor network traffic for unusual command execution patterns or unexpected outbound connections originating from these devices.
  3. Implement network segmentation to limit exposure of vulnerable routers to critical internal systems.
  4. Employ strict access control lists (ACLs) and firewall rules to restrict management interface access to trusted IP addresses only.
  5. Regularly check GL-iNet official channels for firmware updates or security advisories addressing this vulnerability.
  6. If patching is not immediately possible, consider replacing affected devices with models not impacted by this vulnerability.
  7. Conduct thorough audits of network devices for signs of compromise, especially focusing on routers with similar firmware versions.
  8. Educate network administrators about the risks of command injection vulnerabilities and the importance of input validation in device management interfaces.

Description

GL-iNet GL-AR300M16 v4.3.11 was discovered to contain a command injection vulnerability via the module parameter in the M.get_system_log function. This vulnerability allows attackers to execute arbitrary commands via a crafted input.

References

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