إرسال #944843: SourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database 1.0 SQL Injectionالمعلومات

عنوانSourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database 1.0 SQL Injection
الوصفA SQL Injection vulnerability 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_symptom.php endpoint through the id GET parameter. Since the application does not properly validate the input before using it in an SQL query, an unauthenticated attacker can manipulate the parameter and access sensitive information stored in the MySQL database, including user and patient data. 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/
المصدر⚠️ https://github.com/KaranParelkar/Drug_recommendation_system/blob/main/sqli/edit_symptom_id_parameter/Readme.md
المستخدم
 anubhav106 (UID 98769)
ارسال24/08/2026 03:18 PM (27 أيام منذ)
الاعتدال19/09/2026 03:23 PM (26 days later)
الحالةتمت الموافقة
إدخال VulDB407948 [SourceCodester Drug Recommendation System 1.0 /Admin/edit_symptom.php معرف حقن SQL]
النقاط20

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