Discover the SQL injection vulnerability in SmartVista SVFE2 v2.2.22 via voiceAudit:j_id97 parameter. Learn about the impact, affected systems, exploitation, and mitigation steps.
SmartVista SVFE2 v2.2.22 was discovered to contain a SQL injection vulnerability via the voiceAudit:j_id97 parameter at /SVFE2/pages/audit/voiceaudit.jsf.
Understanding CVE-2022-38617
This CVE identifies a SQL injection vulnerability in SmartVista SVFE2 v2.2.22, allowing attackers to execute malicious SQL queries via a specific parameter.
What is CVE-2022-38617?
The CVE-2022-38617 vulnerability is a SQL injection flaw found in SmartVista SVFE2 v2.2.22, enabling attackers to manipulate the database by injecting malicious SQL commands through the vulnerable parameter voiceAudit:j_id97.
The Impact of CVE-2022-38617
This vulnerability could lead to unauthorized access to sensitive data, data manipulation, and possibly compromise the integrity and confidentiality of the application and its underlying data.
Technical Details of CVE-2022-38617
The following technical aspects of CVE-2022-38617 provide insights into the vulnerability.
Vulnerability Description
The SQL injection vulnerability in SmartVista SVFE2 v2.2.22 allows threat actors to insert malicious SQL queries through the voiceAudit:j_id97 parameter on the /SVFE2/pages/audit/voiceaudit.jsf endpoint.
Affected Systems and Versions
SmartVista SVFE2 v2.2.22 is confirmed to be affected by this vulnerability, putting systems with this version at risk.
Exploitation Mechanism
By manipulating the voiceAudit:j_id97 parameter in the specific endpoint, attackers can send crafted SQL code to the database, potentially gaining unauthorized access or causing data loss.
Mitigation and Prevention
To address and prevent the exploitation of CVE-2022-38617, consider the following steps.
Immediate Steps to Take
Long-Term Security Practices
Patching and Updates
Stay informed about security updates and patches released by the vendor for SmartVista SVFE2. Apply patches promptly to ensure that the system is protected against known vulnerabilities.