CVE-2025-15496 identifies a SQL injection vulnerability in the yshopmall e-commerce platform developed by guchengwuyue, specifically affecting versions 1.9.0 and 1.9.1. The vulnerability resides in the getPage function of the /api/jobs API endpoint, where the 'sort' parameter is improperly sanitized, allowing an attacker to inject arbitrary SQL commands. This injection flaw enables remote attackers to manipulate backend database queries, potentially leading to unauthorized data access, data modification, or denial of service. The vulnerability requires no authentication or user interaction, increasing its risk profile. The CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P) indicates network attack vector, low attack complexity, no user interaction, and partial impact on confidentiality, integrity, and availability. The vulnerability was responsibly disclosed early to the vendor, but no patch or response has been issued. No known exploits are currently active in the wild, but public disclosure increases the risk of exploitation. The lack of vendor response necessitates immediate mitigation by users of affected versions.

The SQL injection vulnerability in yshopmall can have significant consequences for organizations using the affected versions. Exploitation could allow attackers to extract sensitive customer data, including personal and payment information, leading to data breaches and regulatory non-compliance. Attackers might also alter or delete critical data, impacting business operations and data integrity. Additionally, crafted SQL injections could cause denial of service by disrupting database availability. Since the vulnerability is remotely exploitable without authentication, it broadens the attack surface and increases risk. E-commerce platforms are high-value targets due to the sensitive nature of stored data and their role in revenue generation, making this vulnerability particularly impactful for businesses relying on yshopmall. The absence of an official patch and public exploit disclosure further elevate the threat level.

Until an official patch is released, organizations should implement strict input validation and sanitization on the 'sort' parameter in the /api/jobs endpoint to prevent SQL injection. Employing parameterized queries or prepared statements in the codebase is critical to eliminate injection vectors. Web Application Firewalls (WAFs) should be configured to detect and block SQL injection patterns targeting this endpoint. Monitoring logs for unusual query patterns or errors related to the 'sort' parameter can help detect attempted exploitation. Restrict database user permissions to the minimum necessary to limit potential damage from injection attacks. Consider isolating or temporarily disabling the vulnerable API endpoint if feasible. Organizations should maintain an active vulnerability management process to apply patches promptly once available and keep abreast of vendor updates. Conducting penetration testing focused on injection flaws can help identify residual risks.