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Muhammad Noman Ilyas

FAST · 2019 · i19 - 1671

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2019

Education

SEECS

Address

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DOB

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Career

Current role

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Target role

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Skills

NextJS, Django, Selenium, SQLite, Python

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.

AWebDOST
Project Name: AWebDOST (Automated WebApp Dynamic OWASP Security Tester)
Project Objective: AWebDOST is an automated web application security testing tool designed to detect vulnerabilities in web applications, with a focus on ensuring compliance with a substantial segment of OWASP Top 10 vulnerabilities. The project aims to provide a comprehensive and reliable solution for detecting security vulnerabilities in web applications, enabling organizations to experience peace of mind and enhanced security.
AWebDOST leverages the Selenium framework to automate web application testing, enabling efficient and accurate vulnerability detection.
Architecture flow:
1. URL Submission
2. Crawling
3. Parsing
4. Testing
5. Report Generation
Vulnerability Categories Covered:
1. Authentication Vulnerabilities
2. HTTP Header Configurations
3. OS Command Injection
4. SQL Injection
5. Client Side Scripting
6. LDAP
7. HTTP Header Injection
8. Information Disclosure
Group Members:
Umer Javed (i19 - 1650)
Muhammad Noman Ilyas (i19 - 1671)
Azeem Siddique (i19 - 1952)
Technology Used:
NextJS, Django, Selenium , SQLite , Python
Supervisor Name:
Dr. Muhammad Asim

AI enrichment

Muhammad Noman Ilyas is a BSCS graduate who contributed to AWebDOST, an automated web application security testing tool built with Python, Django, and NextJS. The project utilized Selenium for crawling and testing to detect OWASP Top 10 vulnerabilities and generate security reports.

Skills (AI)

["Python", "Django", "NextJS", "Selenium", "SQLite", "Web Application Security", "OWASP Top 10", "Vulnerability Detection", "Automated Testing"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 399
Created: 1778169842