CVE-2022-48601 in SL1
Summary
by MITRE • 08/09/2023
A SQL injection vulnerability exists in the “network print report” 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.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Analysis
by VulDB Data Team • 08/10/2023
The vulnerability identified as CVE-2022-48601 represents a critical SQL injection flaw within the ScienceLogic SL1 network monitoring platform. This security weakness specifically affects the network print report functionality, which serves as a reporting mechanism for network administrators to generate detailed prints of network configurations and monitoring data. The vulnerability stems from inadequate input validation and sanitization processes within the application's codebase, where user-supplied data is directly incorporated into SQL query construction without proper escaping or parameterization. This design flaw creates a pathway for malicious actors to manipulate the underlying database queries through crafted input parameters.
The technical implementation of this vulnerability aligns with CWE-89, which categorizes SQL injection as a common weakness in software applications. The flaw occurs when the network print report feature accepts user-controlled input through parameters that are subsequently concatenated directly into SQL statements without proper sanitization. Attackers can exploit this by injecting malicious SQL code through the report generation interface, potentially gaining unauthorized access to sensitive network data, modifying database records, or even executing administrative commands on the underlying database system. The vulnerability is particularly concerning because it affects a reporting feature that network administrators frequently use, making it an attractive target for exploitation.
From an operational perspective, this vulnerability presents significant risks to organizations relying on ScienceLogic SL1 for network monitoring and management. The impact extends beyond simple data theft to include potential system compromise, data integrity violations, and unauthorized access to critical network infrastructure information. Attackers could leverage this vulnerability to extract sensitive configuration data, credentials stored within the database, or detailed network topology information that could be used for further attacks. The attack surface is amplified by the fact that this vulnerability affects a feature that is likely accessible to multiple users within the organization, increasing the potential for both insider and external exploitation. According to ATT&CK framework domain T1190, this vulnerability enables initial access and privilege escalation through database manipulation techniques.
Mitigation strategies for CVE-2022-48601 should focus on implementing proper input validation and parameterized queries to prevent user input from being directly executed as SQL commands. Organizations should immediately apply available vendor patches and updates to address the vulnerability. Additionally, implementing web application firewalls and database activity monitoring solutions can help detect and prevent exploitation attempts. Network segmentation and least privilege access controls should be enforced to limit potential damage from successful exploitation. Regular security assessments and code reviews should be conducted to identify similar vulnerabilities in other application components. The remediation process should include comprehensive testing to ensure that the fix does not introduce new functionality issues while maintaining the intended reporting capabilities of the network print feature.