Cross-Tenant Side-Channel Attacks in PaaS Clouds
Межтенантные атаки по побочным каналам в облаках PaaS
2014-11-03
SCID: 54.1/qy44mmkf
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FLUSH-RELOAD attackPaaS cloudsSAML single sign-oncache-based attackscross-tenant side-channel attacks
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Abstract (AI)
We present a new attack framework for conducting cache-based side-channel attacks and demonstrate this framework in attacks between tenants on commercial Platform-as-a-Service (PaaS) clouds. Our framework uses the FLUSH-RELOAD attack of Gullasch et al. as a primitive, and extends this work by leveraging it within an automaton-driven strategy for tracing a victim's execution. We leverage our framework first to confirm co-location of tenants and then to extract secrets across tenant boundaries. We specifically demonstrate attacks to collect potentially sensitive application data (e.g., the number of items in a shopping cart), to hijack user accounts, and to break SAML single sign-on. To the best of our knowledge, our attacks are the first granular, cross-tenant, side-channel attacks successfully demonstrated on state-of-the-art commercial clouds, PaaS or otherwise.
Key Findings
1
Demonstrates extraction of secrets across tenant boundaries, including sensitive application data such as shopping-cart size.
2
Introduces an automaton-driven framework that extends FLUSH-RELOAD for tracing victim execution in cache-based side-channel attacks.
3
Reports the first granular cross-tenant side-channel attacks demonstrated on state-of-the-art commercial clouds, according to the authors.
4
Shows practical cross-tenant attacks enabling user-account hijacking and compromise of SAML single sign-on.
5
The framework can confirm whether attacker and victim tenants are co-located on commercial PaaS clouds.
Research Object
cross-tenant interactions and execution of applications in commercial Platform-as-a-Service (PaaS) clouds
Research Subject
cache-based side-channel leakage of tenant co-location, execution traces, and sensitive application secrets across tenant boundaries
Publication Details
Publication Date
2014-11-03
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