TEEzz: Fuzzing Trusted Applications on COTS Android Devices

Author:

Busch Marcel1,Machiry Aravind2,Spensky Chad3,Vigna Giovanni4,Kruegel Christopher4,Payer Mathias1

Affiliation:

1. EPFL

2. Purdue University

3. Allthenticate

4. UC Santa Barbara

Funder

European Research Council

Publisher

IEEE

Reference91 articles.

1. Billions and billions of constraints: Whitebox fuzz testing in production

2. Polymorphic type inference for machine code

3. Coverage-based Greybox Fuzzing as Markov Chain

4. TrustZone Explained: Architectural Features and Use Cases

5. Unearthing the trustedcore: A critical review on huawei’s trusted execution environment;busch;Proceedings of the Workshop on Offensive Technologies WOOT,2020

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1. Conditional Network Availability: Enhancing Connectivity Guarantees for TEE-Based Services;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

2. SyncEmu: Enabling Dynamic Analysis of Stateful Trusted Applications;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

3. Automated Detection of Cryptographic Inconsistencies in Android’s Keymaster Implementations;Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services;2024-06-03

4. SoK: Prudent Evaluation Practices for Fuzzing;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

5. SyzTrust: State-aware Fuzzing on Trusted OS Designed for IoT Devices;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

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