जमा करें #944860: SourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database 1.0 SQL Injectionजानकारी

शीर्षकSourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database 1.0 SQL Injection
विवरणA SQL Injection vulnerability (CWE-89) was found in SourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database v1.0. The issue is present in the /drug_recommender/Admin/edit_user.php endpoint through the id GET parameter. The application does not properly validate the parameter before using it in an SQL query, allowing an unauthenticated attacker to manipulate the query and access sensitive information from the MySQL database. During testing, database information and sensitive records from the users and patients tables could be retrieved. Product Website: https://www.sourcecodester.com/php/18278/drug-recommender-web-app-student-project.html RESEARCHERS: Researcher 1: Karan Parelkar Email: [email protected] GitHub: https://github.com/KaranParelkar LinkedIn: https://www.linkedin.com/in/karan-parelkar-6a370125b/ Researcher 2: Anubhav Verma Email: [email protected] GitHub: https://github.com/anubhavv106 LinkedIn: https://www.linkedin.com/in/anubhav-verma-7123a1232/ Researcher 3: Parth Desai Email: [email protected] GitHub: https://github.com/ParthD31 LinkedIn: https://www.linkedin.com/in/parth-desai-801951224/
स्रोत⚠️ https://github.com/KaranParelkar/Drug_recommendation_system/blob/main/sqli/edit_user/Readme.md
उपयोगकर्ता
 anubhav106 (UID 98769)
सबमिशन24/08/2026 03:23 PM (27 दिन पहले)
संयम19/09/2026 05:22 PM (26 days later)
स्थितिस्वीकृत
VulDB प्रविष्टि407955 [SourceCodester Drug Recommendation System 1.0 edit_user.php पहचान SQL इंजेक्शन]
अंक20

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