CVE-2025-10807 in Online Beauty Parlor Management System
Summary
by MITRE • 09/22/2025
A security flaw has been discovered in Campcodes Online Beauty Parlor Management System 1.0. This issue affects some unknown processing of the file /admin/edit-customer-detailed.php. The manipulation of the argument editid results in sql injection. The attack may be launched remotely. The exploit has been released to the public and may be exploited.
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Analysis
by VulDB Data Team • 09/25/2025
The vulnerability identified as CVE-2025-10807 represents a critical sql injection flaw within the Campcodes Online Beauty Parlor Management System version 1.0. This security weakness specifically manifests in the administrative file /admin/edit-customer-detailed.php where the editid parameter is processed without adequate input validation or sanitization. The flaw exists due to improper handling of user-supplied data that flows directly into sql query construction, creating an avenue for malicious actors to manipulate database operations through crafted input values. The vulnerability is classified as a classic sql injection attack vector where an attacker can inject malicious sql code through the editid parameter to execute unauthorized database commands.
The technical exploitation of this vulnerability occurs when an attacker sends a specially crafted request to the vulnerable endpoint with a manipulated editid argument. This allows the attacker to bypass authentication mechanisms, extract sensitive customer data, modify database records, or potentially escalate privileges within the system. The remote exploitation capability means that attackers do not need physical access to the system and can target the vulnerability over the network. The attack vector aligns with common sql injection techniques documented in the CWE database under CWE-89, which specifically addresses improper neutralization of special elements used in sql commands. This weakness enables unauthorized access to customer information including personal details, contact information, and potentially financial data stored within the beauty parlor management system.
The operational impact of this vulnerability extends beyond simple data theft to encompass complete system compromise and potential business disruption. Customer privacy is severely compromised as personal information becomes accessible to unauthorized parties, potentially leading to identity theft, fraud, or other malicious activities. The system's integrity is at risk as attackers can modify customer records, potentially altering service details, appointment schedules, or billing information. Additionally, the vulnerability may allow attackers to escalate privileges and gain administrative control over the entire system, enabling them to install malware, create backdoors, or completely disable system functionality. This type of attack falls under the ATT&CK framework's technique T1071.004 for application layer protocol manipulation and T1046 for network service scanning, demonstrating how attackers can leverage sql injection to gain deeper system access and maintain persistence.
Mitigation strategies for CVE-2025-10807 require immediate implementation of input validation and parameterized query usage throughout the application. The system should employ prepared statements or parameterized queries to ensure that user input cannot be interpreted as sql code, effectively neutralizing the injection attack vector. Regular security updates and patches should be implemented to address the underlying vulnerability, while input sanitization measures should be enforced at multiple levels including application code, web application firewalls, and database access controls. Network segmentation and access controls should be implemented to limit exposure of administrative endpoints, while comprehensive logging and monitoring should be enabled to detect potential exploitation attempts. Organizations should also conduct thorough security assessments to identify similar vulnerabilities within the codebase and implement secure coding practices to prevent future sql injection attacks, aligning with industry standards such as those outlined in the OWASP Top Ten and NIST cybersecurity guidelines.