CVE-2022-30458 in Automotive Shop Management System
Summary
by MITRE • 05/24/2022
Automotive Shop Management System v1.0 is vulnerable to Cross Site Scripting (XSS) via /asms/classes/Master.php?f=save_product, name.
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Analysis
by VulDB Data Team • 05/29/2022
The Automotive Shop Management System version 1.0 contains a cross site scripting vulnerability that arises from insufficient input validation and output encoding within the product saving functionality. This vulnerability exists in the Master.php script at the specific endpoint /asms/classes/Master.php?f=save_product where the name parameter is processed without proper sanitization. The flaw allows malicious actors to inject arbitrary javascript code into the application's response, which gets executed in the context of other users' browsers when they view the affected product data. This represents a classic reflected cross site scripting vulnerability where user-supplied data flows directly into the HTTP response without adequate protection mechanisms.
The technical implementation of this vulnerability stems from the application's failure to properly validate and sanitize user input before incorporating it into dynamic web content. When a user submits product information through the save_product function, the system accepts the name parameter and stores it without performing adequate sanitization or encoding operations. This creates an opening for attackers to craft malicious payloads that can exploit the vulnerability when the stored data is later rendered in web pages. The vulnerability specifically affects the name field within the product management interface, making it particularly dangerous as product names often appear in multiple contexts including search results, product listings, and administrative interfaces.
The operational impact of this vulnerability extends beyond simple data theft or defacement. Attackers can leverage this XSS flaw to hijack user sessions, steal sensitive information from authenticated users, or redirect them to malicious websites. In the context of an automotive shop management system, this could lead to unauthorized access to customer data, service records, pricing information, or even financial details. The vulnerability can be exploited through various vectors including social engineering campaigns where attackers send malicious links to employees or customers, or through direct injection attacks when users browse product listings. The reflected nature of the vulnerability means that the attack payload is executed immediately when the affected page is loaded, making it particularly effective for phishing and session hijacking attacks.
Security professionals should consider this vulnerability in relation to CWE-79 which defines the weakness of cross site scripting in software applications. The vulnerability also aligns with ATT&CK technique T1566 which covers social engineering through spearphishing and malicious payloads. Organizations should implement comprehensive input validation mechanisms that sanitize all user-supplied data before processing, employ proper output encoding for dynamic content, and establish robust content security policies to prevent unauthorized script execution. The recommended mitigations include implementing strict validation of input parameters, utilizing secure coding practices that encode output data, deploying web application firewalls, and conducting regular security testing to identify similar vulnerabilities in the application's codebase. Additionally, implementing proper access controls and monitoring user activities can help detect and prevent exploitation attempts.