2 research outputs found
HyperDbg: Reinventing Hardware-Assisted Debugging (Extended Version)
Software analysis, debugging, and reverse engineering have a crucial impact
in today's software industry. Efficient and stealthy debuggers are especially
relevant for malware analysis. However, existing debugging platforms fail to
address a transparent, effective, and high-performance low-level debugger due
to their detectable fingerprints, complexity, and implementation restrictions.
In this paper, we present HyperDbg, a new hypervisor-assisted debugger for
high-performance and stealthy debugging of user and kernel applications. To
accomplish this, HyperDbg relies on state-of-the-art hardware features
available in today's CPUs, such as VT-x and extended page tables. In contrast
to other widely used existing debuggers, we design HyperDbg using a custom
hypervisor, making it independent of OS functionality or API. We propose
hardware-based instruction-level emulation and OS-level API hooking via
extended page tables to increase the stealthiness. Our results of the dynamic
analysis of 10,853 malware samples show that HyperDbg's stealthiness allows
debugging on average 22% and 26% more samples than WinDbg and x64dbg,
respectively. Moreover, in contrast to existing debuggers, HyperDbg is not
detected by any of the 13 tested packers and protectors. We improve the
performance over other debuggers by deploying a VMX-compatible script engine,
eliminating unnecessary context switches. Our experiment on three concrete
debugging scenarios shows that compared to WinDbg as the only kernel debugger,
HyperDbg performs step-in, conditional breaks, and syscall recording, 2.98x,
1319x, and 2018x faster, respectively. We finally show real-world applications,
such as a 0-day analysis, structure reconstruction for reverse engineering,
software performance analysis, and code-coverage analysis
HyperDbg: Reinventing Hardware-Assisted Debugging
Software analysis, debugging, and reverse engineering have a crucial impact in today's software industry. Efficient and stealthy debuggers are especially relevant for malware analysis. However, existing debugging platforms fail to address a transparent, effective, and high-performance low-level debugger due to their detectable fingerprints, complexity, and implementation restrictions.
In this paper, we present StealthDbg, a new hypervisor-assisted debugger for high-performance and stealthy debugging of user and kernel applications. To accomplish this, StealthDbg relies on state-of-the-art hardware features available in today's CPUs, such as VT-x and extended page tables. In contrast to other widely used existing debuggers, we design StealthDbg using a custom hypervisor, making it independent of OS functionality or API. We propose hardware-based instruction-level emulation and OS-level API hooking via extended page tables to increase the stealthiness. Our results of the dynamic analysis of 10,853 malware samples show that StealthDbg's stealthiness allows debugging on average 22% and 26% more samples than WinDbg and x64dbg, respectively. Moreover, in contrast to existing debuggers, StealthDbg is not detected by any of the 13 tested packers and protectors. We improve the performance over other debuggers by deploying a VMX-compatible script engine, eliminating unnecessary context switches. Our experiment on three concrete debugging scenarios shows that compared to WinDbg as the only kernel debugger, StealthDbg performs step-in, conditional breaks, and syscall recording, 2.98x, 1319x, and 2018x faster, respectively. We finally show real-world applications, such as a 0-day analysis, structure reconstruction for reverse engineering, software performance analysis, and code-coverage analysis