LibreNMS up to 26.1.x address-search.inc.php address sql injection

CVSS Meta Temp Score
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CTI Interest Score
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7.4$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in LibreNMS up to 26.1.x. This impacts an unknown function of the file address-search.inc.php. This manipulation of the argument address causes sql injection. The identification of this vulnerability is CVE-2026-26990. It is possible to initiate the attack remotely. There is no exploit available. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability classified as critical was found in LibreNMS up to 26.1.x. Affected by this vulnerability is some unknown processing of the file address-search.inc.php. The manipulation of the argument address with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

LibreNMS is an auto-discovering PHP/MySQL/SNMP based network monitoring tool. Versions 25.12.0 and below have a Time-Based Blind SQL Injection vulnerability in address-search.inc.php via the address parameter. When a crafted subnet prefix is supplied, the prefix value is concatenated directly into an SQL query without proper parameter binding, allowing an attacker to manipulate query logic and infer database information through time-based conditional responses. This vulnerability requires authentication and is exploitable by any authenticated user. This issue has been fixedd in version 26.2.0.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-26990 since 02/17/2026. The exploitation appears to be easy. The attack can be launched remotely. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

By approaching the search of inurl:address-search.inc.php it is possible to find vulnerable targets with Google Hacking.

Upgrading to version 26.2.0 eliminates this vulnerability. Applying the patch 15429580baba03ed1dd377bada1bde4b7a1175a1 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.4

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 8.8
CNA Vector (GitHub_M): 🔒

CVSSv2info

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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
Google Hack: 🔒

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: LibreNMS 26.2.0
Patch: 15429580baba03ed1dd377bada1bde4b7a1175a1

Timelineinfo

02/17/2026 CVE reserved
02/20/2026 +3 days Advisory disclosed
02/20/2026 +0 days VulDB entry created
02/20/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-79q9-wc6p-cf92
Status: Confirmed

CVE: CVE-2026-26990 (🔒)
GCVE (CVE): GCVE-0-2026-26990
GCVE (VulDB): GCVE-100-347059

Entryinfo

Created: 02/20/2026 07:57
Changes: 02/20/2026 07:57 (67)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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