Shellcode_IA32: A Dataset for Automatic Shellcode Generation

Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, Samira Shaikh


Abstract
We take the first step to address the task of automatically generating shellcodes, i.e., small pieces of code used as a payload in the exploitation of a software vulnerability, starting from natural language comments. We assemble and release a novel dataset (Shellcode_IA32), consisting of challenging but common assembly instructions with their natural language descriptions. We experiment with standard methods in neural machine translation (NMT) to establish baseline performance levels on this task.
Anthology ID:
2021.nlp4prog-1.7
Volume:
Proceedings of the 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021)
Month:
August
Year:
2021
Address:
Online
Venue:
NLP4Prog
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
58–64
Language:
URL:
https://aclanthology.org/2021.nlp4prog-1.7
DOI:
10.18653/v1/2021.nlp4prog-1.7
Bibkey:
Cite (ACL):
Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, and Samira Shaikh. 2021. Shellcode_IA32: A Dataset for Automatic Shellcode Generation. In Proceedings of the 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021), pages 58–64, Online. Association for Computational Linguistics.
Cite (Informal):
Shellcode_IA32: A Dataset for Automatic Shellcode Generation (Liguori et al., NLP4Prog 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.nlp4prog-1.7.pdf
Code
 dessertlab/Shellcode_IA32
Data
Shellcode_IA32