Shellcode_IA32: A Dataset for Automatic Shellcode Generation
2021-04-27ACL (NLP4Prog) 2021Code Available1· sign in to hype
Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, Samira Shaikh
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ReproduceCode
- github.com/dessertlab/Shellcode_IA32OfficialIn papernone★ 38
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.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| Shellcode_IA32 | LSTM-based Sequence to Sequence | BLEU-4 | 62.97 | — | Unverified |