| शीर्षक | SourceCodester Drug Recommendation System Using Machine Learning, PHP, and MySQL Database 1.0 SQL Injection |
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| विवरण | 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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| स्रोत | ⚠️ https://github.com/KaranParelkar/Drug_recommendation_system/blob/main/sqli/edit_symptom_id_parameter/Readme.md |
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| उपयोगकर्ता | anubhav106 (UID 98769) |
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| सबमिशन | 24/08/2026 03:18 PM (27 दिन पहले) |
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| संयम | 19/09/2026 03:23 PM (26 days later) |
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| स्थिति | स्वीकृत |
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| VulDB प्रविष्टि | 407948 [SourceCodester Drug Recommendation System 1.0 /Admin/edit_symptom.php पहचान SQL इंजेक्शन] |
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| अंक | 20 |
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