提出 #944843: 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 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/
ソース⚠️ https://github.com/KaranParelkar/Drug_recommendation_system/blob/main/sqli/edit_symptom_id_parameter/Readme.md
ユーザー
 anubhav106 (UID 98769)
送信2026年08月24日 15:18 (28 日 ago)
モデレーション2026年09月19日 15:23 (26 days later)
ステータス承諾済み
VulDBエントリ407948 [SourceCodester Drug Recommendation System 1.0 /Admin/edit_symptom.php 識別子 SQLインジェクション]
ポイント20

Interested in the pricing of exploits?

See the underground prices here!