A vulnerability was identified in itsourcecode Apartment Management System 1
Description
A vulnerability was identified in itsourcecode Apartment Management System 1
Remediation
Apply vendor security updates immediately. Monitor for exploitation attempts and review access logs.
Executive Summary:
A high-severity vulnerability has been discovered in PHPGurukul Online Course Registration software, which could allow an unauthenticated attacker to compromise the system over the network. Successful exploitation could lead to the theft of sensitive information, such as student personal data and course details. Organizations are strongly advised to apply the vendor-provided security patches immediately to mitigate the risk of a data breach.
Vulnerability Details
CVE-ID: CVE-2025-9307
Affected Software: Course Multiple Products (Specifically PHPGurukul Online Course Registration)
Affected Versions: PHPGurukul Online Course Registration version 3. See vendor advisory for other potentially affected products and versions.
Vulnerability: The vulnerability is a SQL Injection flaw within the Online Course Registration application. An unauthenticated attacker can craft a malicious request to a publicly accessible component of the application, likely a search or registration form, and inject arbitrary SQL commands. This allows the attacker to bypass authentication mechanisms and directly query the backend database, enabling them to exfiltrate, modify, or delete sensitive data.
Business Impact
This vulnerability presents a significant risk to the organization, classified as High severity with a CVSS score of 7.3. Exploitation could result in a major data breach, leading to the unauthorized disclosure of sensitive Personally Identifiable Information (PII) of students and faculty, financial data, and proprietary course information. The potential consequences include severe reputational damage, loss of customer trust, regulatory fines (e.g., under GDPR or FERPA), and the operational cost associated with incident response and recovery.
Remediation Plan
Immediate Action: The primary remediation is to apply the security updates provided by the vendor across all affected systems without delay. After patching, system administrators should conduct a thorough review of web server and database access logs for any signs of compromise that may have occurred prior to the update.
Proactive Monitoring: Implement enhanced monitoring on the affected web applications. Security teams should look for suspicious patterns in web server logs, such as SQL keywords (e.g.,
SELECT,UNION,DROP,'--) in URL parameters. Database activity monitoring should be used to alert on anomalous queries originating from the web application's service account.Compensating Controls: If immediate patching is not feasible, deploy a Web Application Firewall (WAF) with rules specifically configured to detect and block SQL Injection attack patterns. Additionally, ensure the application's database service account is configured with the principle of least privilege, restricting its permissions to only what is absolutely necessary for application functionality.
Exploitation Status
Public Exploit Available: False
Analyst Notes: As of the publication date of August 22, 2025, there are no known public exploits or active exploitation campaigns targeting this vulnerability. However, SQL Injection vulnerabilities are well-understood, and proof-of-concept (PoC) exploit code could be developed and released by security researchers or malicious actors in the near future.
Analyst Recommendation
Given the high severity (CVSS 7.3) of this vulnerability and the direct risk of a data breach, we recommend that organizations prioritize the immediate application of the vendor-supplied security patches. While this vulnerability is not currently on the CISA Known Exploited Vulnerabilities (KEV) catalog, its ease of exploitation for an unauthenticated attacker increases the likelihood of future targeting. Proactive patching is the most effective strategy to prevent potential compromise and protect sensitive institutional and student data.