| --- |
| license: mit |
| task_categories: |
| - text-classification |
| tags: |
| - malware |
| - code |
| - decompiled |
| pretty_name: malware dataset code and decompiled C pseudocode |
| size_categories: |
| - n<1K |
| --- |
| # Malware Source Code and Decompiled C Pseudocode Dataset |
|
|
| ## Overview |
|
|
| This repository contains a curated dataset of **malware source codes** and **C-like pseudocode** obtained through automated decompilation using **Ghidra**, the reverse engineering framework developed by the **NSA**. |
|
|
| The dataset is intended for **malware analysis**, **program analysis research**, **machine learning / LLM-based malware detection**, and **reverse engineering experiments**. |
|
|
| ## Data Origin |
|
|
| The data is based on the following archive: |
|
|
| - **VXUnderground Archive** |
| - **Old APT Collection** |
| - **Archive version:** `2024.7z` |
|
|
| VXUnderground is a well-known public repository that aggregates malware samples from various threat actor groups and historical campaigns. |
|
|
| ## Decompilation Scope and Limitations |
|
|
| ⚠️ **Important Notice** |
|
|
| Due to **computational resource constraints**, **not all executable files** from the original VXUnderground archive were decompiled. |
|
|
| - Only a **subset of executable malware samples** was processed |
| - Decompilation was performed using **Ghidra in headless mode** |
| - Some binaries may be missing corresponding decompiled outputs |
| - The dataset should **not** be considered complete or exhaustive |
|
|
| This selective decompilation approach was chosen to balance dataset size with practical feasibility. |
|
|
| ## Repository Structure |
|
|
| ``` |
| |
| . |
| ├── code/ |
| │ └── * (malware source code files without file extensions) |
| │ |
| ├── decompiled/ |
| │ └── *.decomp.c (C-like pseudocode generated by Ghidra) |
| │ |
| └── README.md |
| |
| ``` |
|
|
| ### `code/` |
|
|
| - Contains **original malware source code** |
| - **All files have no file extensions** |
| - Files originate directly from the VXUnderground archive |
| - Code may be incomplete, obfuscated, or inconsistent in formatting |
|
|
| ### `decompiled/` |
|
|
| - Contains **C-like pseudocode** produced by **Ghidra** |
| - **All files use the `.decomp.c` extension** |
| - Represents decompiled versions of selected executable malware samples |
| - Output reflects: |
| - Ghidra’s internal analysis |
| - Heuristics and limitations of automated decompilation |
| - The code is **not guaranteed to compile** and may contain artifacts introduced by the decompiler |
|
|
| ## Intended Use Cases |
|
|
| This dataset can be used for: |
|
|
| - Malware classification (malware vs benign) |
| - Program comprehension and reverse engineering research |
| - Training and evaluation of: |
| - Large Language Models (LLMs) |
| - Recursive Language Models (RLMs) |
| - Static analysis pipelines |
| - Malware family analysis and feature extraction |
| - Source code ↔ pseudocode alignment tasks |
|
|
| ## Disclaimer |
|
|
| ⚠️ **Warning** |
|
|
| - This repository contains **real malware code** |
| - The code is provided **strictly for research and educational purposes** |
| - **Do NOT compile or execute** any files unless in a properly isolated environment (e.g., sandbox, VM) |
| - The authors take **no responsibility** for misuse or damage caused by this dataset |
|
|
| ## License and Attribution |
|
|
| - Original malware samples are attributed to **VXUnderground** |
| - Ghidra is developed and maintained by the **National Security Agency (NSA)** |
| - This dataset is a **derived work** created for research purposes only |
|
|
| If you use this dataset in academic work, please cite: |
| - VXUnderground as the original data source |
| - Ghidra as the decompilation tool |
|
|
| ## Contact |
|
|
| For questions, issues, or collaboration related to this dataset, please open an issue or contact the repository maintainer. |
