CVE-2022-48599 in SL1
Summary
by MITRE • 08/09/2023
A SQL injection vulnerability exists in the “reporter events type” 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-2022-48599 represents a critical SQL injection flaw within the ScienceLogic SL1 monitoring platform's reporter events type functionality. This security weakness resides in how the system processes user-controlled input data, specifically within the event reporting module that generates database queries. The vulnerability stems from inadequate input sanitization mechanisms that fail to properly validate or escape user-supplied parameters before incorporating them into SQL command structures.
The technical exploitation of this vulnerability occurs when an attacker crafts malicious input through the reporter events type interface, which then gets directly embedded into backend SQL queries without proper parameterization or input filtering. This design flaw allows threat actors to manipulate the database queries by injecting malicious SQL code that can execute with the privileges of the affected application. The vulnerability falls under CWE-89 which specifically addresses SQL injection attacks where untrusted data is incorporated into SQL commands without proper validation or escaping mechanisms.
From an operational perspective, this vulnerability presents a severe risk to organizations utilizing ScienceLogic SL1 for infrastructure monitoring and management. Successful exploitation could enable attackers to extract sensitive data from the database, modify or delete critical monitoring information, and potentially escalate privileges within the system. The impact extends beyond simple data theft as attackers could manipulate monitoring data to obscure security incidents or create false positives that could disrupt operational responses. The vulnerability affects the integrity and confidentiality of the entire monitoring ecosystem, potentially compromising the organization's ability to detect and respond to security events effectively.
The attack surface for this vulnerability is particularly concerning as it operates within a monitoring platform where attackers could gain access to comprehensive infrastructure data including system configurations, network mappings, and operational metrics that are typically considered sensitive. The ATT&CK framework categorizes this as a database access technique where adversaries leverage injection flaws to gain unauthorized access to backend systems. Organizations should implement immediate mitigations including input validation, parameterized queries, and access controls to prevent unauthorized database interactions. Additionally, regular security assessments and monitoring of database query logs should be implemented to detect potential exploitation attempts. The vulnerability underscores the critical importance of secure coding practices and input validation in enterprise monitoring platforms where database integrity directly impacts operational security and incident response capabilities.