Soumettre #992055: SourceCodester Drug Recommendation System Using Machine Learning 1.0 (SourceCodester Release 18278) Cross Site Request Forgeryinformation

TitreSourceCodester Drug Recommendation System Using Machine Learning 1.0 (SourceCodester Release 18278) Cross Site Request Forgery
DescriptionThe application has **no anti-CSRF protection anywhere** (searching for `csrf`, `xsrf`, `_token`, `nonce`, `authenticity_token`, `hash_equals` yields zero hits). Every state-changing operation is authenticated only by the ambient session cookie and can be triggered from a foreign origin. Critically, destructive operations — deleting users/patients/symptoms/recommendations and enabling/disabling accounts — are reachable via **plain GET requests with no token**, making them trivially triggerable when a logged-in admin merely loads a linked page.
La source⚠️ https://github.com/hackliu/Vulnerability-Reports/blob/master/Drug-Recommender-Web-App/VULN-06-CSRF-Missing-Tokens.md
Utilisateur BI1IHA (UID 69245)
Soumission19/09/2026 11:31 (il y a 1 mois)
Modérer05/10/2026 20:23 (16 days later)
StatutAccepté
Entrée VulDB413699 [SourceCodester Drug Recommendation System 1.0 cross site request forgery]
Points20

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