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kitploitKitPloitKITPLOIT:6733872795425357130
HistoryApr 09, 2024 - 12:30 p.m.

Sicat - The Useful Exploit Finder

2024-04-0912:30:00
www.kitploit.com
25
sicat
exploit search
cybersecurity
vulnerabilities
exploit-db
packetstorm security
exploit alert
nvd database
metasploit modules
installation
usage
command line options
examples
to-do
contribution
download.

AI Score

7.2

Confidence

Low

Introduction

SiCat is an advanced exploit search tool designed to identify and gather information about exploits from both open sources and local repositories effectively. With a focus on cybersecurity, SiCat allows users to quickly search online, finding potential vulnerabilities and relevant exploits for ongoing projects or systems.

SiCat’s main strength lies in its ability to traverse both online and local resources to collect information about relevant exploitations. This tool aids cybersecurity professionals and researchers in understanding potential security risks, providing valuable insights to enhance system security.

SiCat Resources

Installation

git clone https://github.com/justakazh/sicat.git && cd sicat  
  
pip  install  -r  requirements.txt  

Usage

~$ python sicat.py --help  

Command Line Options:

Command Description
-h Show help message and exit
-k KEYWORD
-kv KEYWORK_VERSION
-nm Identify via nmap output
--nvd Use NVD as info source
--packetstorm Use PacketStorm as info source
--exploitdb Use ExploitDB as info source
--exploitalert Use ExploitAlert as info source
--msfmoduke Use metasploit as info source
-o OUTPUT Path to save output to
-ot OUTPUT_TYPE Output file type: json or html

Examples

From keyword

python sicat.py -k telerik --exploitdb --msfmodule  

From nmap output

nmap --open -sV localhost -oX nmap_out.xml  
python sicat.py -nm nmap_out.xml --packetstorm  

To-do

  • [ ] Input from nmap result from pipeline
  • [ ] Nmap multiple host support
  • [ ] Search NSE Script
  • [ ] Search by PORT

Contribution

I’m aware that perfection is elusive in coding. If you come across any bugs, feel free to contribute by fixing the code or suggesting new features. Your input is always welcomed and valued.

Download Sicat

AI Score

7.2

Confidence

Low