Brute force and credential stuffing attacks are among the most common threats to login systems. Simulating them in a controlled environment helps evaluate how effective current protections like rate limiting, CAPTCHA, or lockout policies truly are.
This project enables ethical simulation of brute force attacks on test environments. It measures how fast login systems respond, how defenses trigger, and how long an attacker can keep guessing before being blocked — providing insights for stronger security design.
Attempt logins using common password lists and record how many succeed or get blocked.
Measure the time between attempts, rate limiting triggers, and response slowdowns.
Simulate how bots might behave around CAPTCHA forms and test whether they block scripted attacks effectively.
Generate a score for the login system based on responsiveness, error handling, and defense mechanisms triggered.
The tool mimics a brute force bot by sending a series of login attempts using a username and a list of passwords. It observes how and when the login system responds with blocking measures, errors, slowdowns, or CAPTCHA requests, then analyzes its performance.
Python (requests, asyncio), Selenium or Puppeteer for CAPTCHA-aware attacks.
Track HTTP 429 responses or response timing increases.
Matplotlib, Plotly, or Chart.js for defense analytics and summary dashboards.
Use popular lists like rockyou.txt, SecLists, or create a custom mini-dictionary.
Deploy a mock login form or use a test site with rate limiting and CAPTCHA enabled.
Use Python or Node.js to automate login attempts with delays and logging of results.
Measure how many attempts succeed, fail, trigger errors, or are rate-limited.
Try bypassing simple CAPTCHA or note how often it blocks scripted input.
Score the login system’s strength and export a report with suggestions and attack logs.
Build an intelligent brute force simulator to stress test your login systems — and harden them using real-world metrics and automated security scoring.
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