Qu1cksc0pe

All-in-One malware analysis tool for analyze many file types, from Windows binaries to E-Mail files.

You can get:

• What DLL files are used.
• Functions and APIs.
• Sections and segments.
• URLs, IP addresses and emails.
• Android permissions.
• File extensions and their names.
• Embedded executables/exploits.
  And so on...
  

Qu1cksc0pe aims to get even more information about suspicious files and helps user realize what that file is capable of.

Qu1cksc0pe Can Analyze Currently

Files	Analysis Type
Windows Executables (.exe, .dll, .msi, .bin)	Static, Dynamic
Linux Executables (.elf, .bin)	Static, Dynamic
MacOS Executables (mach-o)	Static
Android Files (.apk, .jar, .dex)	Static, Dynamic(for now .apk only)
Golang Binaries (Linux)	Static
Document Files	Static
Archive Files (.zip, .rar, .ace)	Static
PCAP Files (.pcap)	Static
Powershell Scripts	Static
E-Mail Files (.eml)	Static

Usage

python qu1cksc0pe.py --file suspicious_file --analyze

Screenshot

Updates

20/11/2024

• Bug fix.

14/11/2024

• Improvements on Windows Analyzer module.

13/09/2024

• Improvements on Linux Analyzer module.

Available On

Recommended Systems

• Parrot OS
• Kali Linux
• Windows 10 or 11

And also another Linux distributions like as Kali/Parrot

Setup and Installation

Necessary Dependencies:

• Python 3.10 or higher versions.
• VirusTotal API Key => Performing VirusTotal based analysis.
• Strings => Necessary for static analysis.
• Jadx => Performing source code and resource analysis.
• PyOneNote => OneNote document analysis.
• Mono => Performing .Net binary analysis.

Note

If you encounter issues with the Python modules, creating a Python virtual environment (python_venv) should resolve them.

# You can simply execute the following command it will do everything for you!
bash setup.sh

# If you want to install Qu1cksc0pe on your system just execute the following commands.
bash setup.sh
python qu1cksc0pe.py --install

# To prevent interpreter errors after installation, use dos2unix.
dos2unix /usr/bin/qu1cksc0pe

# Or you can use Qu1cksc0pe from Docker!
docker build -t qu1cksc0pe .
docker run -it --rm -v $(pwd):/data qu1cksc0pe:latest --file /data/suspicious_file --analyze

# For Windows systems you need to execute the following command (Powershell)
# PS C:\Users\user\Desktop\Qu1cksc0pe> .\setup.ps1

Static Analysis

Normal analysis

Description: You can perform basic analysis and triage against your samples.

Usage: python qu1cksc0pe.py --file suspicious_file --analyze

Resource analysis

Description: With this feature you can analyze assets of given file. Also you can detect and extract embedded payloads from malware samples such as AgentTesla, Formbook etc.

Effective Against:

• .NET Executables
• Android Files (.apk)

Usage: python qu1cksc0pe.py --file suspicious_file --resource

Hash scan

Description: You can check if hash value of the given file is in built-in malware hash database. Also you can scan your directories with this feature.

Usage: python qu1cksc0pe.py --file suspicious_file --hashscan

Folder scan

Supported Arguments:

• --hashscan
• --packer

Usage: python qu1cksc0pe.py --folder FOLDER --hashscan

VirusTotal

Report Contents:

• Threat Categories
• Detections
• CrowdSourced IDS Reports

Usage for --vtFile: python qu1cksc0pe.py --file suspicious_file --vtFile

Document scan

Description: This feature can perform deep file inspection against given document files. For example: You can detect and extract possible malicious links or embedded exploits/payloads from your suspicious document file easily!

Effective Against:

• Word Documents (.doc, .docm, .docx)
• Excel Documents (.xls, .xlsm, .xlsx)
• Portable Document Format (.pdf)
• OneNote Documents (.one)
• HTML Documents (.htm, .html)
• Rich Text Format Documents (.rtf)

Usage: python qu1cksc0pe.py --file suspicious_document --docs

Embedded File/Exploit Extraction

Archive File Scan

Description: With this feature you can perform checks for suspicious files against archive files.

Effective Against:

• ZIP
• RAR
• ACE

Usage: python qu1cksc0pe.py --file suspicious_archive_file --archive

File signature analyzer

Description: With this feature you can detect and extract embedded executable files(.exe, .elf) from given file. Also you can analyze large files (even 1gb or higher) and extract actual malware samples from them (pumped-file analysis).

Usage: python qu1cksc0pe.py --file suspicious_file --sigcheck

File Carving

MITRE ATT&CK Technique Extraction

Description: This feature allows you to generate potential MITRE ATT&CK tables based on the import/export table or functions contained within the given file.

Effective Against:

• Windows Executables

Usage: python qu1cksc0pe.py --file suspicious_file --mitre

Programming language detection

Description: You can get programming language information from given file.

Usage: python qu1cksc0pe.py --file suspicious_executable --lang

Interactive shell

Description: You can use Qu1cksc0pe in command line mode.

Usage: python qu1cksc0pe.py --console

Dynamic Analysis

Android Application Analysis

Note

You must connect a virtual device or physical device to your computer.

Usage: python qu1cksc0pe.py --watch

android_dynamic_analysis.1.mp4

Process Analysis

Usage: python qu1cksc0pe.py --watch

windows_process_analyzer.mp4

References

• The Cyber Security Hub
• Kitploit - Top 20 Most Popular Hacking Tools in 2021
• CSIRT.MAI
• Vulners
• RedPacket Security
• Bournemouth University - CERT
• Hacking Articles - Digital Forensics Tools Mindmap
• HackGit - Twitter Post
• Daily Dark Web - Twitter Post
• SANS ISC - Blog Post
• Korben - Blog Post
• heise online - Blog Post