提交 #944860: SourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database 1.0 SQL Injection信息

标题SourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database 1.0 SQL Injection
描述A 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/
来源⚠️ https://github.com/KaranParelkar/Drug_recommendation_system/blob/main/sqli/edit_user/Readme.md
用户
 anubhav106 (UID 98769)
提交2026-08-24 15時23分 (27 日前)
管理2026-09-19 17時22分 (26 days later)
状态已接受
VulDB条目407955 [SourceCodester Drug Recommendation System 1.0 edit_user.php 标识符 SQL注入]
积分20

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