Skip to content

SoufianEly/Qu1cksc0pe

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Qu1cksc0pe



logo


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) 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

python3 qu1cksc0pe.py --file suspicious_file --analyze

Screenshot

Screenshot

Updates

01/09/2023

  • Android Dynamic Analyzer module is significantly upgraded.

29/08/2023

  • Android Dynamic Analyzer module is upgraded. Now Qu1cksc0pe also can perform categorized pattern scanning against application memory dumps!
dynamic_analysis_new_feature.mp4

26/08/2023

  • Android Dynamic Analyzer module is upgraded. Now you can also perform analysis against heavily obfuscated samples to!
dynamic_analysis_update.mp4

23/08/2023

  • NEW FEATURE!!: Qu1cksc0pe can now perform analysis against memory dump of an android application. You can get:
  • Possible C2 addresses at runtime.
  • Socket connections.
  • Created services.
  • Methods used by target application.
android_dynamic_analysis.1.mp4

Available On

blackarch tsurugi

Recommended Systems

  • Parrot OS
  • Kali Linux


And similar Linux distributions...

Setup and Installation


Necessary Dependencies:

  • VirusTotal API Key => Performing VirusTotal based analysis.
  • Strings => Necessary for static analysis.
  • PyExifTool => Metadata extraction.
  • Jadx => Performing source code and resource analysis.
  • PyOneNote => OneNote document analysis.
  • Mono => Performing .Net binary analysis.
# 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
sudo python3 qu1cksc0pe.py --install

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

Static Analysis

Normal analysis

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

Usage: python3 qu1cksc0pe.py --file suspicious_file --analyze
windows_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: python3 qu1cksc0pe.py --file suspicious_file --resource
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: python3 qu1cksc0pe.py --file suspicious_file --hashscan
hash

Folder scan

Supported Arguments:

  • --hashscan
  • --packer

Usage: python3 qu1cksc0pe.py --folder FOLDER --hashscan
hashscan_tui

VirusTotal

Report Contents:

  • Threat Categories
  • Detections
  • CrowdSourced IDS Reports

Usage for --vtFile: python3 qu1cksc0pe.py --file suspicious_file --vtFile
total

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)

Usage: python3 qu1cksc0pe.py --file suspicious_document --docs
docs

Embedded File/Exploit Extraction

exploit

Archive File Scan

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

Effective Against:

  • ZIP
  • RAR
  • ACE

Usage: python3 qu1cksc0pe.py --file suspicious_archive_file --archive archiveanalysis

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: python3 qu1cksc0pe.py --file suspicious_file --sigcheck
sigcheck

File Carving

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: python3 qu1cksc0pe.py --file suspicious_file --mitre
mitre

Programming language detection

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

Usage: python3 qu1cksc0pe.py --file suspicious_executable --lang
langdetect

Interactive shell

Description: You can use Qu1cksc0pe in command line mode.

Usage: python3 qu1cksc0pe.py --console
console

Dynamic Analysis

Android Application Analysis

Alert

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


Usage: python3 qu1cksc0pe.py --file suspicious.apk --watch

android_dynamic_analysis.1.mp4

Binary Emulation

Alert

Binary emulator is not recommended for .NET analysis.


Usage: python3 qu1cksc0pe.py --file suspicious_file --watch
animation

References

About

All-in-One malware analysis tool.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • YARA 93.9%
  • Python 6.0%
  • Other 0.1%