CVE-2023-39650 Scanner
CVE-2023-39650 Scanner - SQL Injection vulnerability in PrestaShop Theme Volty CMS Blog
Short Info
Level
Critical
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
1 minute
Time Interval
25 days 21 hours
Scan only one
Domain, IPv4, Subdomain
Toolbox
-
The PrestaShop Theme Volty CMS Blog is a module designed for PrestaShop, an open-source e-commerce platform used widely for creating online stores. This module provides a blogging system that allows users to manage and display blog content within their PrestaShop sites. It is particularly beneficial for store owners who wish to enhance their site's content with news, tips, or product updates. Primarily, PrestaShop is utilized by small to medium-sized enterprises because of its flexibility and range of features. The module is generally used by non-technical users, making existing vulnerabilities a significant concern since they might not have the expertise to address them promptly. Therefore, keeping such components secure from vulnerabilities is critical to maintaining customer trust and protecting sensitive data.
SQL Injection is a critical security vulnerability that allows attackers to interfere with the queries made to a database. This flaw arises when the application inadequately validates user-supplied data included in SQL queries during run-time execution. Consequently, threat actors can exploit this vulnerability to run malicious SQL code, leading to unauthorized access, data breaches, or even data manipulation. The severity of SQL Injection can span from minor data alterations to full administrative privileges on the entire system. While detecting such vulnerabilities requires significant expertise, addressing it promptly prevents potential breaches and data leaks. SQL injections remain among the most challenging issues, requiring pragmatic development practices and regular scans for security compliance.
The technical aspect of exploiting the Theme Volty CMS Blog module involves injecting SQL commands via the 'SubmitCurrency' parameter within specific HTTP requests. Herein, attackers manipulate this parameter to trigger an extended SQL sleep function, revealing the presence of a vulnerability based on response times. This technique, known as time-based blind SQL injection, demonstrates the depth at which the endpoint's query execution can be influenced. Identifying a successful injection is determined by notable delays in server response, confirming the malleability of the module's SQL query handling. Furthermore, simultaneous multiple status checks help validate the precise nature of the vulnerability. Technical patches or improving input validation serve as immediate mitigations against similar exploitation attempts in the future.
Upon successful exploitation of this SQL injection vulnerability, an adversary can execute arbitrary SQL queries on the affected database, exposing sensitive data to unauthorized parties. This could lead to devastating consequences like data theft, manipulation, or total database compromise. The ramifications extend beyond data breaches, potentially impacting operations, eroding consumer trust, or damaging the affected enterprise's reputation. Moreover, gaining administrative access could allow attackers to further deploy malware, escalate privileges, or make infrastructure changes without detection. Addressing these issues is crucial in sustaining secure business operations and upholding stakeholder confidence.
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