CVE-2022-48602 in SL1
Summary
by MITRE • 08/09/2023
A SQL injection vulnerability exists in the “message viewer print” 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-2022-48602 represents a critical SQL injection flaw within the ScienceLogic SL1 platform's message viewer print functionality. This weakness stems from inadequate input validation and sanitization mechanisms that fail to properly process user-controlled data before incorporating it into database queries. The affected component specifically processes print requests for message viewer content, creating an attack surface where malicious actors can manipulate database interactions through carefully crafted input parameters. The vulnerability manifests when the system accepts unsanitized user input and directly embeds it into SQL command structures without proper escaping or parameterization.
The technical exploitation of this vulnerability follows established patterns of SQL injection attacks where attacker-controlled data flows directly into database execution contexts. When users interact with the message viewer print feature, their input is processed through a vulnerable code path that concatenates user-supplied values into SQL queries without appropriate sanitization measures. This design flaw allows attackers to inject malicious SQL fragments that can manipulate database operations, potentially enabling data extraction, modification, or deletion. The vulnerability aligns with CWE-89, which specifically addresses SQL injection weaknesses where untrusted data is incorporated into SQL commands without proper validation or escaping mechanisms.
The operational impact of this vulnerability extends beyond simple data integrity concerns to encompass potential system compromise and data breach scenarios. An attacker who successfully exploits this vulnerability could gain unauthorized access to sensitive operational data within the ScienceLogic environment, potentially accessing monitoring data, system configurations, or other confidential information. The implications are particularly severe in cybersecurity monitoring contexts where such platforms serve as critical infrastructure for threat detection and incident response. The vulnerability could enable attackers to escalate privileges, extract database credentials, or manipulate monitoring data to evade detection mechanisms, directly violating the principle of data confidentiality and system integrity.
Mitigation strategies for CVE-2022-48602 must address both immediate remediation and long-term architectural improvements. Organizations should implement proper input validation and parameterized query construction to prevent direct concatenation of user data into SQL commands. The recommended approach involves adopting prepared statements or parameterized queries that separate SQL command structure from data values, eliminating the possibility of SQL injection through user input. Additionally, implementing input sanitization routines and output encoding mechanisms can provide defense-in-depth measures. Security teams should also consider network segmentation, access controls, and monitoring of database activities to detect potential exploitation attempts. This vulnerability demonstrates the importance of following secure coding practices and adheres to ATT&CK technique T1071.004 for application layer attacks, emphasizing the need for robust input validation and sanitization across all user-facing application components.