CVE-2022-48596 in SL1
Summary
by MITRE • 08/09/2023
A SQL injection vulnerability exists in the “ticket queue watchers” feature of the ScienceLogic SL1 that takes unsanitized user?controlled input and passes it directly to a SQL query. This allows for the injection of arbitrary SQL before being executed against the database.
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Analysis
by VulDB Data Team • 09/02/2023
The vulnerability identified as CVE-2022-48596 represents a critical SQL injection flaw within the ScienceLogic SL1 platform's ticket queue watchers functionality. This security weakness stems from inadequate input validation and sanitization processes that permit malicious actors to inject arbitrary SQL commands through user-controlled parameters. The vulnerability specifically affects the database interaction layer where user input flows directly into SQL query construction without proper encoding or parameterization, creating an exploitable pathway for unauthorized database access and manipulation.
The technical exploitation of this vulnerability occurs when the application processes user-supplied data within the ticket queue watchers component, which then incorporates this unsanitized input into database queries. This design flaw falls under the Common Weakness Enumeration category CWE-89, which specifically addresses SQL injection vulnerabilities where untrusted data is directly included in SQL commands without proper validation or escaping mechanisms. The absence of input sanitization creates a direct attack surface where malicious payloads can be executed against the underlying database system, potentially allowing attackers to extract sensitive information, modify database records, or even escalate privileges within the application environment.
From an operational impact perspective, this vulnerability poses significant risks to organizations utilizing ScienceLogic SL1 for IT monitoring and management. The ability to inject SQL commands provides attackers with potential access to sensitive operational data, including system configurations, user credentials, and monitored infrastructure details. The exploitation could lead to complete database compromise, data exfiltration, and unauthorized modification of monitoring data that could mask security incidents or disrupt critical infrastructure operations. Additionally, the vulnerability's presence in a monitoring platform creates a particularly dangerous attack vector since the compromised system could be used to maintain persistent access to the network infrastructure being monitored.
Security practitioners should implement immediate mitigations including input validation and parameterized query construction to prevent further exploitation attempts. The recommended approach involves implementing proper input sanitization at all entry points where user data is processed, particularly within the ticket queue watchers feature. Organizations should also deploy web application firewalls to monitor and filter suspicious SQL injection patterns, while conducting comprehensive code reviews to identify and remediate similar vulnerabilities throughout the application. The ATT&CK framework categorizes this vulnerability under T1190 - Exploit Public-Facing Application, highlighting the need for proper application hardening and network segmentation to limit potential attack surface exposure. Regular security assessments and vulnerability scanning should be conducted to ensure that similar input validation flaws do not exist in other components of the ScienceLogic platform, as the vulnerability demonstrates a systemic issue with database interaction security practices.