제출 #944860: SourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database 1.0 SQL Injection정보

제목SourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database 1.0 SQL Injection
설명A 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/
원천⚠️ https://github.com/KaranParelkar/Drug_recommendation_system/blob/main/sqli/edit_user/Readme.md
사용자
 anubhav106 (UID 98769)
제출2026. 08. 24. PM 03:23 (27 날 ago)
모더레이션2026. 09. 19. PM 05:22 (26 days later)
상태수락
VulDB 항목407955 [SourceCodester Drug Recommendation System 1.0 edit_user.php 아이디 SQL 주입]
포인트들20

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