CVE-2024-49375
CriticalSummary
W frameworku uczenia maszynowego Rasa zidentyfikowano podatność, która umożliwia zdalne wykonanie kodu przez atakującego, który ma możliwość załadowania złośliwie przygotowanego modelu do instancji Rasa. Wymaga to włączenia API HTTP oraz braku odpowiednich zabezpieczeń lub posiadania ważnego tokena uwierzytelniającego.
Risk Assessment
Podatność ta stwarza poważne ryzyko dla organizacji, umożliwiając atakującym zdalne wykonanie kodu, co może prowadzić do przejęcia kontroli nad systemem. Niezastosowanie się do zaleceń dotyczących uwierzytelniania może zwiększyć podatność na ataki.
Recommendation
Zaleca się aktualizację do wersji Rasa 3.6.21 lub nowszej. Użytkownicy, którzy nie mogą zaktualizować, powinni wprowadzić wymóg uwierzytelniania oraz ograniczyć dostęp tylko do zaufanych użytkowników.
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Original NVD description (English source)
Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration. 2. For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation. 3. For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API. This issue has been addressed in rasa version 3.6.21 and all users are advised to upgrade. Users unable to upgrade should ensure that they require authentication and that only trusted users are given access.
Vulnerability data from NVD (NIST) · CISA KEV · EPSS