Towards Automatic Inference of Kernel Object Semantics from Binary Code

@inproceedings{Zeng2015TowardsAI,
  title={Towards Automatic Inference of Kernel Object Semantics from Binary Code},
  author={Junyuan Zeng and Zhiqiang Lin},
  booktitle={RAID},
  year={2015}
}
This paper presents ARGOS, the first system that can automatically uncover the semantics of kernel objects directly from a kernel binary. Based on the principle of data use reveals data semantics, it starts from the execution of system calls (i.e., the user level application interface) and exported kernel APIs (i.e., the kernel module development interface), and automatically tracks how an instruction accesses the kernel object and assigns a bit-vector for each observed kernel object. This bit… CONTINUE READING
BETA

References

Publications referenced by this paper.
SHOWING 1-10 OF 27 REFERENCES

Identifying and analyzing pointer misuses for sophisticated memory-corruption exploit diagnosis

  • M. ZHANG, A. PRAKASH, LI X., Z. LIANG, YIN
  • In Proceedings of the 19th Annual Network and…
  • 2012
2 Excerpts

Similar Papers

Loading similar papers…