ChatGPT Prompts for Web Application Security, Bug Bounty, and Pentesting.

As an aspiring bug bounty hunter, I’ve always sought ways to level up my skills and outsmart the adversaries lurking in the shadows of the digital realm. Little did I know that an encounter with ChatGPT Prompts would revolutionize my bug hunting journey. In this article, I’ll share my personal experience and reveal how ChatGPT Prompts empowered me to uncover critical vulnerabilities, write impeccable bug reports, and excel in web application security, bug bounty programs, and pentesting.

Want to know how chatGPT Prompts help me in Bug Bounty click here to read that blog.

Write a bug bounty report for the following reflected XSS: . Include Title, VRT, CVSS, Description, Impact, PoC that includes all steps to reproduce, and recommended Fix. Use Markdown.

2. Maximize the Impact of Your Reports:

Explain the impact of what an attacker could do with a <insert vulnerability class> vulnerability and any caveats for exploitation in 3 sentences as part of a bug bounty report and optimize for maximum reward.

As an expert bug bounty hunter, list as many domains owned by <company name> as you can.

2. XSS PoC:

Write javascript that would make the HTTP request: <insert HTTP request>

3. Ultimate XSS PoC:

Create a single JavaScript file that achieves the following tasks to be embedded in my test web page: Display all cookies, local storage, and DOM contents in the console. Create a login page that replaces the entire content of the current webpage, and log any submitted form data to the console. Apply styling to the login page to give it a professional appearance. For every item logged to the console, prepend the label “hacked cookie:” or an equivalent description specific to the type of information displayed. Enhance the console output with formatting and colors to make it visually appealing and easy to read.

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