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

TítuloSourceCodester Drug Recommendation System Using Machine Learning 1.0 (SourceCodester Release 18278) Cross Site Request Forgery
DescriçãoThe 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.
Fonte⚠️ https://github.com/hackliu/Vulnerability-Reports/blob/master/Drug-Recommender-Web-App/VULN-06-CSRF-Missing-Tokens.md
Utilizador BI1IHA (UID 69245)
Submissão19/09/2026 11h31 (há 1 mês)
Moderação05/10/2026 20h23 (16 days later)
EstadoAceite
Entrada VulDB413699 [SourceCodester Drug Recommendation System 1.0 Falsificação de Pedido entre Sites]
Pontos20

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