One Engine To Serve 'em All: Inferring Taint Rules Without Architectural Semantics

When:
Friday, March 1, 2019, 11:00 am - 12:00 pm PSTiCal
Where:
Conference Room 1165 - ISI Marina del Rey
This event is open to the public.
Type:
Seminar Talk
Speaker:
Dr. Zhenkai Liang, National University of Singapore
Video Recording:
https://bluejeans.com/650461729
Description:

Abstract:

Dynamic binary taint analysis has wide applications in the security analysis of commercial-off-the-shelf (COTS) binaries. One of the key challenges in dynamic binary analysis is to specify the taint rules that capture how taint information propagates for each instruction on an architecture. Most of the existing solutions specify taint rules using a deductive approach by summarizing the rules manually after analyzing the instruction semantics. Intuitively, taint propagation reflects on how an instruction input affects its output and thus can be observed from instruction executions. In this work, we propose an inductive method for taint propagation and develop a universal taint tracking engine that is architecture-agnostic. Our taint engine, TAINTINDUCE, can learn taint rules with minimal architectural knowledge by observing the execution behavior of instructions. To measure its correctness and guide taint rule generation, we define the precise notion of soundness for bit-level taint tracking in this novel setup. In our evaluation, we show that TAINTINDUCE automatically learns rules for 4 widely used architectures: x86, x64, AArch64, and MIPS-I. It can detect vulnerabilities for 24 CVEs in 15 applications on both Linux and Windows over millions of instructions and is comparable with other mature existing tools (TEMU, libdft, Triton). TAINTINDUCE can be used as a standalone taint engine or be used to complement existing taint engines for unhandled instructions. Further, it can be used as a cross-referencing tool to uncover bugs in taint engines, emulation implementations and ISA documentations.

Speaker Bio:

Zhenkai Liang is an Associate Professor of the School of Computing, National University of Singapore (NUS). His main research interests are in system and software security, web security, mobile security, and program analysis. He has served as the technical program committee members of many system security conferences, including the ACM Conference on Computer and Communications Security (CCS), USENIX Security Symposium and the Network and Distributed System Security Symposium (NDSS). He is also an associate editor of the IEEE Transaction on Dependable and Secure Computing. As a co-author, he received the Best Paper Award in ICECCS 2014, the Best Paper Award in W2SP 2014, the ACM SIGSOFT Distinguished Paper Award at ESEC/FSE 2009, the Best Paper Award at USENIX Security Symposium 2007, and the Outstanding Paper Award at ACSAC 2003. He also won the Annual Teaching Excellence Award of NUS in 2014 and 2015. He received his Ph.D. degree in Computer Science from Stony Brook University in 2006, and B.S. degrees in Computer Science and Economics from Peking University in 1999.

ISI Hosts:

Terry Benzel and Christophe Hauser

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