| Titre | SourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database 1.0 SQL Injection |
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| Description | 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/ |
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| La source | ⚠️ https://github.com/KaranParelkar/Drug_recommendation_system/blob/main/sqli/edit_symptom_id_parameter/Readme.md |
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| Utilisateur | anubhav106 (UID 98769) |
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| Soumission | 24/08/2026 15:18 (il y a 27 jours) |
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| Modérer | 19/09/2026 15:23 (26 days later) |
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| Statut | Accepté |
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| Entrée VulDB | 407948 [SourceCodester Drug Recommendation System 1.0 /Admin/edit_symptom.php ID injection SQL] |
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| Points | 20 |
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