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

タイトルSourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database 1.0 SQL Injection
説明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/
ソース⚠️ https://github.com/KaranParelkar/Drug_recommendation_system/blob/main/sqli/edit_user/Readme.md
ユーザー
 anubhav106 (UID 98769)
送信2026年08月24日 15:23 (27 日 ago)
モデレーション2026年09月19日 17:22 (26 days later)
ステータス承諾済み
VulDBエントリ407955 [SourceCodester Drug Recommendation System 1.0 edit_user.php 識別子 SQLインジェクション]
ポイント20

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