Datasetpublic

Vedaang/malware_analysis

Malware Analysis Dataset This dataset contains memory forensics analysis data for malware research, including both benign and ransomware samples analyzed with Volatility Framework. Structure Dataset Repository (this repo) Scripts: Volatility automation scripts (Automating_Volatility.py, Volshell_Automation.py, vboxelf.py) YARA Rules: malware_rules.yar for malware detection Scan Results: Lightweight analysis outputs: malfind/ - Process memory… See the full description on the dataset page: https://huggingface.co/datasets/Vedaang/malware_analysis.

sourceHugging Faceupdated 1mo agoView on Hugging Face

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rootVolshell_Automation.py

Volshell_Automation.py28 linesDownload Raw Back to root

1#!/usr/bin/env python3
2import subprocess
3import os
4f = open("Addresses.txt", "r").read().split('\n')
5rootdir = './'
6file_name=[]
7sub_dir=[]
8
9for subdir, dirs, files in os.walk(rootdir):
10    for file in files:
11        file_name.append(file)
12        sub_dir.append(subdir)
13
14z=0
15# print(f)
16file_name=['1.elf']
17for i in f:
18    p=subprocess.run('echo "db('+i+',length=256)" | vol.py -f ' + sub_dir[0] + '/' + file_name[0] + ' --profile=Win10x64_18362 volshell > ./Dump_Addresses/' + i+'.txt' ,shell=True)
19
20
21# for i in range(0, len(f)):
22#     f.write(malware_sample_list[i]+'\n')
23#     for j in range(0, len(unique_processes[i])):
24#         name_pid=str(unique_processes[i][j][0])+ ':'+ str(unique_processes[i][j][1]+'\n')
25#         f.write(name_pid)
26#
27# f.close()
28