CVE-2017-14703 in Cash Back Comparison Script
Summary
by MITRE
SQL injection vulnerability in Cash Back Comparison Script 1.0 allows remote attackers to execute arbitrary SQL commands via the PATH_INFO to search/.
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Analysis
by VulDB Data Team • 08/23/2025
The vulnerability identified as CVE-2017-14703 represents a critical sql injection flaw within the cash back comparison script version 1.0 that exposes remote attackers to execute arbitrary sql commands through manipulation of the PATH_INFO parameter directed to the search endpoint. This vulnerability falls under the common weakness enumeration category of CWE-89 sql injection, which is classified as a serious security weakness that allows attackers to manipulate database queries by injecting malicious sql code into input fields. The affected application processes user input directly without proper sanitization or parameterization, creating an exploitable condition where attacker-controlled data can be interpreted as part of the sql command rather than as literal data.
The technical exploitation of this vulnerability occurs when an attacker crafts malicious input within the PATH_INFO parameter that gets processed by the search functionality of the cash back comparison script. The application fails to implement proper input validation or output encoding mechanisms, allowing sql commands to be executed within the database context. This flaw enables attackers to perform unauthorized database operations including data extraction, modification, or deletion, potentially leading to complete compromise of the application's data layer. The vulnerability specifically targets the search endpoint, making it particularly dangerous as search functionality is often widely accessible and frequently used within web applications.
Operationally, this vulnerability poses significant risks to organizations using the cash back comparison script as it allows remote code execution capabilities that can be leveraged for data breaches, service disruption, and potential lateral movement within network environments. The impact extends beyond simple data theft as attackers can manipulate the database to alter cash back calculations, modify user accounts, or even escalate privileges within the application. From an att&ck framework perspective, this vulnerability maps to techniques such as t1070 indicator removal and t1190 exploit public-facing application, representing a critical entry point for adversaries seeking to establish persistent access or conduct data exfiltration operations. The remote nature of the attack means that exploitation can occur from any location without requiring physical access to the target system, making it particularly attractive to threat actors.
Mitigation strategies for this vulnerability should focus on implementing proper input validation and parameterized queries to prevent sql injection attacks. The most effective approach involves using prepared statements or parameterized queries that separate sql code from user input, ensuring that malicious input cannot alter the intended sql command structure. Organizations should also implement proper input sanitization techniques, including whitelisting allowed characters and implementing strict validation rules for all user-supplied data. Additional security measures include implementing web application firewalls, conducting regular security code reviews, and establishing proper database access controls to limit the impact of potential exploitation. The remediation process requires immediate patching of the vulnerable application and comprehensive testing to ensure that all input handling mechanisms properly validate and sanitize user data before processing.