Cpe:2.3:a:gis_informatics:gislab_laboratory_management_system:*:*:*:*:*:*:*:* - CraftedSignal Threat Feedhttps://feed.craftedsignal.io/cpes/cpe2.3agis_informaticsgislab_laboratory_management_system/Trending threats, MITRE ATT&CK coverage, and detection metadata. Fed continuously.Hugoenhello@craftedsignal.iohello@craftedsignal.ioThu, 10 Sep 2026 15:06:58 +0000https://feed.craftedsignal.io/favicon-32x32.pngCraftedSignal Threat Feedhttps://feed.craftedsignal.io/3232https://feed.craftedsignal.io/favicon.svgSQL Injection in GIS Informatics GisLab Laboratory Management Systemhttps://feed.craftedsignal.io/briefs/2026-09-gislab-sqli/Thu, 10 Sep 2026 15:06:58 +0000hello@craftedsignal.iohttps://feed.craftedsignal.io/briefs/2026-09-gislab-sqli/An SQL injection vulnerability in GIS Informatics GisLab Laboratory Management System (versions 1.4.03 to <1.5) allows unauthenticated attackers to execute arbitrary SQL commands against the backend database.GIS Informatics GisLab Laboratory Management System contains an SQL injection vulnerability, identified as CVE-2026-9163. The flaw exists due to improper neutralization of special elements within user-supplied input that is subsequently processed by SQL commands. This vulnerability affects versions ranging from 1.4.03 up to, but not including, 1.5. Successful exploitation allows an unauthenticated attacker to manipulate backend database queries, potentially leading to unauthorized data access, modification, or complete database compromise. Organizations utilizing affected versions of GisLab are advised to upgrade to version 1.5 or later immediately to mitigate this risk.

Impact

The vulnerability carries a CVSS v3.1 base score of 9.8, indicating a critical risk of full database compromise. Affected laboratory management systems may suffer from data breaches, exfiltration of sensitive research or clinical information, and potential disruption of laboratory operations if the backend database is corrupted or dropped by an attacker.

Recommendation

  • Upgrade GIS Informatics GisLab Laboratory Management System to version 1.5 or later to resolve CVE-2026-9163.
  • Audit database access logs for unusual query patterns, such as UNION SELECT statements or unauthorized table access, originating from the web application's service account.
  • Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns (e.g., ' OR 1=1 --, UNION SELECT) targeting the application's URI endpoints.
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