CVE-2023-34133 Scanner

SonicWall GMS and Analytics are comprehensive network management systems used by organizations worldwide to improve the security and performance of their IT environments. These solutions facilitate centralized management of security and network devices across large enterprises, service providers, and government agencies. The software provides features such as monitoring, reporting, and analytics to ensure the optimal operation of network infrastructures. Enhanced with real-time data and insights, SonicWall Analytics enables users to resolve network issues quickly and effectively. By leveraging these tools, IT teams can improve operational efficiency, reduce risks, and ensure compliance with organizational and regulatory standards. Users can integrate these software solutions with other SonicWall products to provide a comprehensive network security strategy.

The vulnerability in SonicWall GMS and Analytics involves an SQL Injection flaw that allows unauthorized attackers to inject malicious SQL statements into database queries executed by the application. This security weakness occurs due to improper neutralization of special elements within SQL command inputs. By exploiting this flaw, an attacker could extract sensitive information, manipulate or destroy database data, and potentially control the affected application. The vulnerability affects multiple versions of SonicWall GMS and Analytics platforms, requiring immediate attention from system administrators. Given the potential for data leaks and unauthorized access, it is crucial to properly mitigate this vulnerability to ensure the integrity of applications and data. Security updates and best practices should be implemented to protect against this attack vector.

Technical details of this SQL Injection vulnerability reveal that attackers can access the '/ws/msw/tenant/' endpoint with specially crafted queries to manipulate SQL commands. The vulnerability stems from insufficient input validation and sanitization within the query parameters processed by the application. Attackers may leverage the 'Auth' header to send malicious 'user' and 'hash' values, bypassing normal authentication processes. The inclusion of union select statements allows attackers to gain access to sensitive data stored within the SGMSDB database structures. This flaw exposes critical application elements to exploitation, necessitating strong input validation and parameter filtering. System administrators are advised to closely monitor for unusual activity on affected endpoints and apply necessary patches.

Exploiting this SQL Injection vulnerability could have severe consequences, including unauthorized access to sensitive data such as user credentials and operational reports. Attackers could further exploit this information to compromise the network, execute privileged commands, or execute additional attacks. Data integrity might be compromised through manipulation or deletion, potentially disrupting business operations or leading to legal liabilities. Furthermore, exploitation could facilitate further attacks, such as privilege escalation or unauthorized access to other network devices. Addressing this vulnerability is critical to maintaining the security posture and protecting the interests of the organization and its stakeholders.

REFERENCES

• https://raw.githubusercontent.com/rapid7/metasploit-framework/4b130f5be7590d04878f3bda37555e59e733324d/modules/exploits/multi/http/sonicwall_shell_injection_cve_2023_34124.rb
• https://www.sonicwall.com/support/product-notification/urgent-security-notice-sonicwall-gms-analytics-impacted-by-suite-of-vulnerabilities/230710150218060/
• https://github.com/getdrive/PoC/blob/main/2023/Sonicwall_Shell_Injection/sonicwall_shell_injection_cve_2023_34124.rb
• https://nvd.nist.gov/vuln/detail/CVE-2023-34133
• http://packetstormsecurity.com/files/174571/Sonicwall-GMS-9.9.9320-Remote-Code-Execution.html