CVE-2022-46117 in Helmet Store Showroom Site
Summary
by MITRE • 12/14/2022
Helmet Store Showroom Site v1.0 is vulnerable to SQL Injection via /hss/?page=view_product&id=.
Be aware that VulDB is the high quality source for vulnerability data.
Analysis
by VulDB Data Team • 04/22/2025
The vulnerability identified as CVE-2022-46117 affects the Helmet Store Showroom Site version 1.0, a web application designed for managing and displaying product information. This particular instance represents a critical security flaw that exposes the application to unauthorized data access and potential system compromise. The vulnerability manifests through the /hss/?page=view_product&id= parameter, which serves as an entry point for malicious actors to exploit the underlying database communication mechanisms. The application's failure to properly sanitize user input creates an environment where attacker-controlled data can be directly executed within the database context, fundamentally undermining the security boundaries that should protect sensitive information.
The technical implementation of this SQL injection vulnerability stems from improper input validation and parameter handling within the product viewing functionality. When users navigate to the product view page, the application accepts an 'id' parameter that should contain a numeric identifier for the specific product being displayed. However, the application fails to implement proper input sanitization or parameterized queries, allowing attackers to inject malicious SQL commands through the id parameter. This flaw directly maps to CWE-89 which defines SQL injection as the improper handling of database queries where user-supplied data is concatenated into SQL commands without adequate sanitization. The vulnerability exists because the application likely performs string concatenation operations to build SQL statements rather than utilizing prepared statements or parameterized queries that would properly isolate user input from the execution context.
The operational impact of this vulnerability extends beyond simple data theft to encompass complete database compromise and potential system infiltration. An attacker could leverage this vulnerability to extract all product information, customer data, administrative credentials, and potentially sensitive business intelligence stored within the database. The attack surface is particularly concerning as it provides access to what appears to be a commercial retail application containing product catalogs, pricing information, and likely customer records. The vulnerability enables various attack vectors including data exfiltration, unauthorized account access, and potential privilege escalation within the database environment. According to ATT&CK framework tactic TA0006 (Credential Access) and technique T1213 (Data from Information Repositories), this vulnerability directly facilitates unauthorized access to stored data repositories and could enable further lateral movement within the network infrastructure.
Mitigation strategies for this vulnerability should prioritize immediate implementation of parameterized queries and input validation mechanisms. The application code must be modified to utilize prepared statements or parameterized queries for all database interactions, ensuring that user input is never directly concatenated into SQL command strings. Input validation should be implemented at multiple levels including length restrictions, character set validation, and type checking to prevent malformed data from reaching database execution contexts. Additionally, the application should implement proper error handling that does not expose database structure information to end users. Security monitoring and logging should be enhanced to detect unusual database access patterns that might indicate exploitation attempts. Organizations should also consider implementing web application firewalls and database activity monitoring solutions to provide additional layers of protection against similar vulnerabilities. The remediation process should include comprehensive code review and security testing to identify and address other potential injection points within the application's codebase, as this vulnerability likely represents a broader pattern of insecure coding practices that could affect other functional areas of the system.