Learn about CVE-2022-48595, a high-severity SQL injection vulnerability affecting ScienceLogic SL1. Understand the impact, technical details, affected versions, and mitigation steps.
A SQL injection vulnerability has been identified in the "ticket template watchers" feature of ScienceLogic SL1, allowing unsanitized user input to be directly passed to a SQL query, enabling the execution of arbitrary SQL against the database.
Understanding CVE-2022-48595
This CVE involves a high-severity SQL injection vulnerability affecting ScienceLogic SL1.
What is CVE-2022-48595?
CVE-2022-48595 is a SQL injection vulnerability in the "ticket template watchers" feature of ScienceLogic SL1, posing a high risk to confidentiality, integrity, and availability of the system.
The Impact of CVE-2022-48595
The impact of this vulnerability is rated as high, with a CVSS base score of 8.8, allowing attackers to execute arbitrary SQL queries on the database, potentially leading to data manipulation, exfiltration, or complete system compromise.
Technical Details of CVE-2022-48595
This section provides more detailed technical insights into the vulnerability.
Vulnerability Description
The vulnerability arises from the lack of input sanitization in the "ticket template watchers" feature, enabling threat actors to inject malicious SQL commands that are executed within the database context.
Affected Systems and Versions
ScienceLogic SL1 version 11.1.2 is confirmed to be affected by CVE-2022-48595.
Exploitation Mechanism
Exploiting this vulnerability involves crafting SQL injection payloads and submitting them through the vulnerable "ticket template watchers" feature, leading to unauthorized access and manipulation of the underlying database.
Mitigation and Prevention
To mitigate the risks associated with CVE-2022-48595, the following steps are recommended:
Immediate Steps to Take
Long-Term Security Practices
Patching and Updates
Keep the ScienceLogic SL1 software up to date with the latest security patches and version upgrades to prevent exploitation of known vulnerabilities.