GL-iNet GL-AR300M16 4.3.11 HTTP add_group sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.9$0-$5k0.00

Summaryinfo

A vulnerability has been found in GL-iNet GL-AR300M16 4.3.11 and classified as critical. Affected is the function add_group of the component HTTP Handler. Performing a manipulation results in sql injection. This vulnerability is known as CVE-2026-26794. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in GL-iNet GL-AR300M16 4.3.11. It has been classified as critical. This affects the function add_group of the component HTTP Handler. The manipulation with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

GL-iNet GL-AR300M16 v4.3.11 was discovered to contain a SQL injection vulnerability via the add_group() function. This vulnerability allows attackers to execute arbitrary SQL database operations via a crafted HTTP request.

The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-26794 since 02/16/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 03/19/2026). MITRE ATT&CK project uses the attack technique T1505 for this issue.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.0
VulDB Meta Temp Score: 7.9

VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔒

ADP CISA Base Score: 8.8
ADP CISA Vector: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

02/16/2026 CVE reserved
03/12/2026 +24 days Advisory disclosed
03/12/2026 +0 days VulDB entry created
03/19/2026 +7 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2026-26794 (🔒)
GCVE (CVE): GCVE-0-2026-26794
GCVE (VulDB): GCVE-100-350745

Entryinfo

Created: 03/12/2026 19:33
Updated: 03/19/2026 23:58
Changes: 03/12/2026 19:33 (54), 03/15/2026 02:17 (12), 03/19/2026 23:58 (11)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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