Invia #992050: SourceCodester Drug Recommendation System Using Machine Learning 1.0 (SourceCodester Release 18278; DB dump dated 2025-05-28) SQL Injectioninformazioni

TitoloSourceCodester Drug Recommendation System Using Machine Learning 1.0 (SourceCodester Release 18278; DB dump dated 2025-05-28) SQL Injection
DescrizioneThe application injects an unescaped, un-parameterized `$_GET['id']` value directly into PDO `->query()` SQL statements in the Admin "edit" pages. Because the preceding authentication check does **not** call `exit()` after the HTTP redirect (see VULN-02), the vulnerability is reachable **without any authentication**. An attacker can extract arbitrary data from the database (credentials, patient PII), modify records, or time-delay the response to confirm blind injection — a full read/write primitive over the database.
Fonte⚠️ https://github.com/hackliu/Vulnerability-Reports/blob/master/Drug-Recommender-Web-App/VULN-01-Unauthenticated-SQL-Injection.md
Utente BI1IHA (UID 69245)
Sottomissione19/09/2026 11:26 (18 giorni fa)
Moderazione05/10/2026 20:14 (16 days later)
StatoDuplicato
Voce VulDB407948 [SourceCodester Drug Recommendation System 1.0 /Admin/edit_symptom.php id iniezione SQL]
Punti0

Do you know our Splunk app?

Download it now for free!