Prateek P

@prateek_pulasty

Application Security Penetration Testing Practitioner

Alemania
Inglés, Hindi
Parte de la información aparece en idioma inglés.
Sobre mí
I am an application and offensive security practitioner with enterprise penetration-testing experience and an MSc in Cyber Security. I specialize in web and API testing, secure code review, and AI/LLM security, including prompt-injection defense. I am CEH and CLLMSP certified with a strong background in Python tooling and OWASP methodologies.... Lee más

Habilidades

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prateek_pulasty
Prateek P
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Revisa mis servicios

Red y seguridad en la nube
I will do penetration testing and web application security testing

Porfolio

Experiencia laboral

Freelancer.com

Independent Security Researcher

Freelancer.com • Trabajador autónomo

Apr 2025 - Present1 yr 3 mos

I work as an independent security researcher across multiple bug bounty platforms, finding and responsibly disclosing vulnerabilities in production software and open-source projects. My focus spans web application security and AI/ML system security — including a critical sandbox-escape vulnerability (CVSS 9.9) in an open-source AI agent framework, and a path traversal detection bypass in a runtime application security product, both submitted through coordinated disclosure programs. I also compete in security CTFs to stay sharp on exploitation techniques across web, infrastructure, and emerging attack surfaces. In May 2026 I completed a multi-vulnerability CTF chain involving IDOR, DOM clobbering, and XSS, and published a full technical writeup. This work keeps me current with how real attackers actually find and exploit vulnerabilities, not just how compliance checklists assume they do. It's the same mindset I bring to every client engagement: read the actual implementation, question what the documentation claims, and test the assumptions a system is quietly relying on. Active on HackerOne, Bugcrowd, huntr.com, and Intigriti, with CLLMSP (Certified LLM Security Professional, June 2026) as a focus credential for AI/LLM-specific testing work.