CVE-2026-75786 in Pandora FMS
Summary
by MITRE • 10/01/2026
Unsanitized concatenation of the module parameter in the Grafana datasource endpoint allows authenticated blind SQL injection. Affects Pandora FMS from 777 onwards.
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Analysis
by VulDB Data Team • 10/01/2026
The vulnerability identified involves a critical authentication bypass and data exfiltration risk within the Pandora FMS software, specifically affecting versions starting from build 777. The core technical flaw stems from unsanitized concatenation of user-supplied input directly into SQL queries executed by the application backend. This specific implementation error occurs at the datasource endpoint where the module parameter is processed without adequate validation or sanitization prior to its inclusion in database commands. Because the input is not properly escaped, an attacker can inject malicious SQL code that alters the logic of the original query, leading to a blind Structured Query Language injection scenario.
In this particular instance, the vulnerability requires authentication, meaning that only users with valid credentials and appropriate permissions within the Pandora FMS environment can exploit it. However, even with authenticated access, the lack of input validation allows an attacker to manipulate database queries in ways not intended by the application developers. The blind nature of the injection implies that the results of the injected SQL statements are not directly returned to the user interface. Instead, exploitation relies on observing differences in application behavior, such as response times or error messages, to infer data from the underlying database. This technique allows attackers to extract sensitive information including usernames, passwords hashes, configuration details, and potentially other proprietary business logic stored within the Pandora FMS database schema.
The operational impact of this vulnerability is severe for organizations relying on Pandora FMS for infrastructure monitoring and management. Successful exploitation can lead to unauthorized access to critical system data, compromising the confidentiality and integrity of monitored environments. Attackers could use extracted credentials to pivot into other systems or escalate privileges within the network. Furthermore, because the injection occurs at a datasource endpoint, it may allow attackers to disrupt monitoring capabilities by corrupting configuration tables or deleting essential records, leading to service availability issues. The ability to perform blind SQL injection also poses a long-term risk as attackers can slowly exfiltrate large volumes of data without triggering immediate alarms associated with obvious error messages or visible output changes.
From a classification perspective, this vulnerability aligns with CWE-89 Improper Neutralization of Special Elements used in an SQL Command and is categorized under the MITRE ATT&CK framework technique T1059 Command Scripting via database commands if further exploitation leads to remote code execution through out-of-band mechanisms or stored procedures. To mitigate this risk, organizations running affected versions of Pandora FMS must apply vendor-provided patches immediately upon release. In cases where patching is not immediately feasible, implementing strict input validation and parameterized queries in custom integrations can reduce exposure. Additionally, deploying Web Application Firewalls with rules specifically tuned to detect SQL injection patterns may provide a layer of defense against exploitation attempts. Regular security audits and code reviews focusing on database interaction layers are recommended to prevent similar vulnerabilities from being introduced during future development cycles.