Soumettre #992051: SourceCodester Drug Recommendation System Using Machine Learning 1.0 (SourceCodester Release 18278) Improper Authentication (Broken Access Control)information

TitreSourceCodester Drug Recommendation System Using Machine Learning 1.0 (SourceCodester Release 18278) Improper Authentication (Broken Access Control)
DescriptionEvery protected Admin page uses the same flawed auth guard: it sends a `Location` redirect when `$_SESSION['user_id']` is empty, but then **fails to call `exit()`/`die()`**. In PHP, `header("Location: ...")` merely queues an HTTP header; it does **not** stop execution. As a result the sensitive code that follows the guard — reading datasets, deleting users/patients/symptoms, enabling/disabling accounts, changing passwords, executing SQL — runs even for anonymous, unauthenticated requests. This single class of defect is the linchpin that makes VULN-01 (unauthenticated SQLi), stored XSS rendering, and all destructive operations reachable from outside.
La source⚠️ https://github.com/hackliu/Vulnerability-Reports/blob/master/Drug-Recommender-Web-App/VULN-02-Broken-Access-Control.md
Utilisateur BI1IHA (UID 69245)
Soumission19/09/2026 11:27 (il y a 1 mois)
Modérer05/10/2026 20:23 (16 days later)
StatutAccepté
Entrée VulDB413697 [SourceCodester Drug Recommendation System 1.0 Auth Guard user_id authentification faible]
Points20

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