CVE-2026-14799 in Ecommerce Website
Summary
by MITRE • 07/06/2026
A security flaw has been discovered in CodeAstro Ecommerce Website 1.0. Impacted is an unknown function of the file /customer/my_account.php?my_wishlist. The manipulation of the argument delete_wishlist results in sql injection. The attack can be launched remotely. The exploit has been released to the public and may be used for attacks.
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Analysis
by VulDB Data Team • 07/06/2026
The security vulnerability identified in CodeAstro Ecommerce Website version 1.0 represents a critical sql injection flaw that exposes the system to remote exploitation. This vulnerability specifically affects the customer account functionality within the ecommerce platform, targeting the my_account.php file with the my_wishlist parameter. The flaw occurs when the delete_wishlist argument is processed without proper input validation or sanitization, creating an avenue for malicious actors to inject arbitrary sql commands into the database query execution flow. This type of vulnerability falls under the common weakness enumeration category CWE-89 which defines sql injection as the insertion of malicious sql fragments into input fields that are then executed by the database server. The remote exploitability aspect of this vulnerability means that attackers can leverage this flaw from outside the network perimeter without requiring local system access or credentials, making it particularly dangerous for online commerce platforms where customer data is continuously processed and stored.
The operational impact of this vulnerability extends beyond simple data theft to encompass complete database compromise and potential system takeover. When an attacker successfully injects sql commands through the delete_wishlist parameter, they can manipulate the underlying database structure to extract sensitive customer information including personal details, purchase histories, payment information, and potentially administrative credentials. The attack vector demonstrates how web applications can be exploited through seemingly innocuous user input fields that are not properly secured against malicious payload injection. This vulnerability aligns with the attack technique described in the mitre att&ck framework under tactic TA0006 (credential access) and technique T1213 (data from information repositories) as it enables unauthorized access to stored customer data through database manipulation. The public release of exploit code significantly amplifies the risk, as it removes the requirement for advanced technical skills that would typically be needed to discover and develop such attacks.
Mitigation strategies for this sql injection vulnerability must address both immediate remediation and long-term security architecture improvements. The primary fix involves implementing proper input validation and parameterized queries within the my_account.php file where the delete_wishlist parameter is processed, ensuring that all user-supplied data is properly escaped or sanitized before database interaction occurs. Organizations should also implement web application firewalls to detect and block suspicious sql injection patterns targeting known vulnerable parameters. The vulnerability highlights the importance of comprehensive input validation across all user-facing application interfaces, as demonstrated by the principle outlined in owasp top ten 2017 category a03 which emphasizes the need for proper data validation and sanitization to prevent injection attacks. Additionally, regular security assessments and penetration testing should be conducted to identify similar vulnerabilities throughout the application codebase, particularly focusing on dynamic parameter handling in php applications where sql queries are constructed using user input. The remediation process should also include database access controls and privilege management to limit the potential impact of any successful exploitation attempts, ensuring that even if an attacker gains access to the system, they cannot escalate privileges or access unrelated database tables.