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Ali Imran

FAST · 2022 · I18-0847
Email
Phone
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Academic

Program
BSCS
CGPA
Year
2022
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
React JS, Go lang, Nmap, Metasploit, Masscan, Docker

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Penetrato 

Penetrato, which is an automated penetration testing tool, is being designed with the aim of 
reducing the time and cost involved in the process of penetration testing. 
It is common practice for IT companies to do penetration tests of their networks from time to time, 
in order to get information about existing vulnerabilities in their system, and to protect the critical 
infrastructure. With each update in their softwares, companies have to repeat this whole step again 
so that no vulnerabilities are opened with the integration of new modules. All of these tests cost a 
lot of money as well as time because once the penetration test is completed, the step of report 
generation takes a long time as well. All of this makes this system not feasible due to huge time and 
cost involvement.  
Our tool will help solve this problem by automating the whole process of penetration testing 
including report generation. With this tool you can simply initiate the process at night, let the tool 
do its work without any supervision and view the results generated by it in the morning. This not 
only will solve the issue of cost but also will save you from time wastage.  
Another feature of penetrato is that it is very easy to use and any user even with very basic 
knowledge of IT can use it due to its extremely easy interface. 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Technology Used: 
React JS, Go lang, Nmap, Metasploit, Masscan, Docker 
Supervisor Name: 
Dr. Muhammad Asima 
Group Members:   
Ali Imran (I18-0847) 
Nauman Aziz (I18-1561) 
Aitzaz Ahmad (I18-0589)
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 250
Created: 1778223768