ObfSec: Measuring the security of obfuscations from a testing perspective

Menéndez, Héctor D.; Suárez-Tangil, Guillermo

doi:10.1016/j.eswa.2022.118298

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2023

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“…However the same combination of program and bad input led to the program, on reaching line 11 when run on a native X86 being terminated with a segmentation fault (LLM-generated program executed as ./00172.c.o 0; available at [2]). It appears that the address space of gem5 might mask these kinds of pointer errors, similarly to what happens with virtualization for obfuscations [15], where invalid addresses that normally belong to the operating system are part of the process address space. Portability AFL++ has been applied to various targets [1,12,16,17] and hence a different target SUT should be easy.…”

Section: Resultsmentioning

confidence: 97%

SearchGEM5: Towards Reliable Gem5 with Search Based Software Testing and Large Language Models

Dakhama,

Even-Mendoza,

Langdon

et al. 2023

Lecture Notes in Computer Science

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We introduce a novel automated testing technique that combines LLM and search-based fuzzing. We use ChatGPT to parameterise C programs. We compile the resultant code snippets, and feed compilable ones to SearchGEM5, our extension to AFL++ fuzzer with customised new mutation operators. We run thus created 4005 binaries through our system under test, gem5, increasing its existing test coverage by more than 1000 lines. We discover 244 instances where gem5 simulation of the binary differs from the binary's expected behaviour.

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Section: Resultsmentioning

confidence: 97%