CVE-2022-48595 in SL1
Summary
by MITRE • 08/09/2023
A SQL injection vulnerability exists in the “ticket template 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-2022-48595 represents a critical SQL injection flaw within the ScienceLogic SL1 platform's ticket template watchers functionality. This security weakness stems from inadequate input validation and sanitization mechanisms that permit malicious actors to inject arbitrary SQL code through user-controlled parameters. The vulnerability specifically targets the database interaction layer where user-supplied data flows directly into SQL query construction without proper escaping or parameterization. The affected component resides within the ticket template watchers feature, which likely manages user permissions and access controls for various support tickets within the monitoring and management system. This flaw exposes the underlying database to potential unauthorized access, data manipulation, and complete compromise of sensitive information stored within the ScienceLogic environment.
The technical exploitation of this vulnerability follows standard SQL injection attack patterns where an attacker crafts malicious input that alters the intended SQL query execution flow. When the application processes user input through the ticket template watchers interface, the unsanitized data gets directly concatenated into database queries without proper sanitization measures. This allows attackers to inject SQL commands that can manipulate database structure, extract sensitive information, modify existing records, or even execute administrative operations on the database server. The vulnerability's classification aligns with CWE-89 which specifically addresses improper neutralization of special elements used in SQL commands, making it a prime target for database-oriented attacks. Attackers can leverage this weakness to bypass authentication mechanisms, escalate privileges, or gain unauthorized access to critical infrastructure monitoring data that ScienceLogic systems typically protect.
The operational impact of CVE-2022-48595 extends beyond simple data theft to encompass complete system compromise and potential business disruption. Organizations relying on ScienceLogic SL1 for infrastructure monitoring face significant risks including unauthorized access to critical system information, manipulation of monitoring data that could mask security incidents, and potential lateral movement within network environments. The vulnerability affects the platform's ability to maintain data integrity and confidentiality, particularly impacting ticket management workflows that likely contain sensitive operational data. Security teams may experience false negatives in their monitoring systems if attackers manipulate or delete relevant ticket information, potentially masking actual security events. This vulnerability directly impacts the system's availability and integrity, as attackers could potentially cause service disruption through database corruption or denial of service conditions. The attack surface is further expanded by the fact that this vulnerability exists within a monitoring platform, potentially providing attackers with insights into network infrastructure and operational procedures.
Mitigation strategies for CVE-2022-48595 should prioritize immediate implementation of input validation and parameterized query execution throughout the ScienceLogic SL1 platform. Organizations must implement proper SQL query parameterization techniques to ensure that user input is never directly concatenated into database queries. The recommended approach involves adopting prepared statements or parameterized queries that separate SQL command structure from data values. Additionally, implementing comprehensive input sanitization and validation routines will prevent malicious payloads from reaching the database layer. Network segmentation and access controls should be reviewed to limit potential attack vectors, while regular security assessments should monitor for similar vulnerabilities within the platform's codebase. Organizations should also establish robust monitoring and alerting mechanisms to detect unauthorized database access attempts or unusual query patterns that may indicate exploitation attempts. The implementation of web application firewalls and database activity monitoring solutions can provide additional layers of protection. Regular patch management processes should be established to ensure timely deployment of vendor security updates, while security awareness training for administrators can help identify potential exploitation attempts. These defensive measures align with ATT&CK framework techniques related to credential access and defense evasion, providing comprehensive protection against the exploitation patterns associated with SQL injection vulnerabilities.