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Student, Cybersecurity researcher, programmer at the age of 13 ;-)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
WebJoke
August 17, 2021 – September 24, 2021
A vulnerable web application to practice different types of vulnerabilities
View ProjectTop-parameters-list
July 28, 2021 – July 28, 2021
Top parameters list for different vulnerabilities
View ProjectPayloadsOfAllTheThings
July 24, 2021 – July 28, 2021
A collection of payloads for different vulnerabilities, best payload lists in one repository
View ProjectgrepX
July 15, 2021 – October 14, 2021
grepX is a multi-threaded CLI tool which extracts some special URLs with parameters that may be vulnerable. Each pattern will output different URLs according to its parameters.
View ProjectPrep-For-OSCP
July 11, 2021 – August 3, 2021
A collection of resources and a guide for OSCP preparation.
View ProjectAutomationGuide
July 9, 2021 – July 9, 2021
Learn how to automate XSS, SSRF, LFI, SQLI, NoSQLi
View ProjectNoSQL_injection_stuff
July 8, 2021 – July 22, 2021
Learn what is NoSQL injection and how to find them ?
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on cybersecurity, specifically offensive security and bug bounty hunting. This indicates a strong passion for this niche. However, the lack of diversity in project types, technologies, and team-based work suggests a potentially narrow focus. For a 'Student' target role, this specialization is understandable, but for broader roles, it might indicate a need for exposure to different domains or collaborative environments. The absence of education and work experience makes it difficult to fully assess cultural fit beyond technical interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a self-driven and investigative approach, but collaboration, communication, and stress handling cannot be evaluated without specific assessment data or work experience.