Build a Brute Force Attack Simulator and Defense Analyzer
Develop a tool that simulates brute force login attempts and tests the robustness of web authentication systems by analyzing how well rate limiting, CAPTCHA, and other mechanisms protect against credential stuffing attacks.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.
Password Dictionary Attack
Attempt logins using common password lists and record how many succeed or get blocked.
Timing & Delay Analysis
Measure the time between attempts, rate limiting triggers, and response slowdowns.
CAPTCHA Evasion Testing
Simulate how bots might behave around CAPTCHA forms and test whether they block scripted attacks effectively.
Defense Scoring Report
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.
- Input: target login URL, test credentials, and password list.
- Simulator starts sending automated POST requests to login form.
- Captures responses, error codes, delays, and defense triggers like CAPTCHA or lockout.
- Scores the effectiveness of defenses using metrics like time-to-block, number of allowed guesses, etc.
- Generates a report with charts and suggestions to improve login protection.
Request Simulation
Python (requests, asyncio), Selenium or Puppeteer for CAPTCHA-aware attacks.
Rate Limiting Detection
Track HTTP 429 responses or response timing increases.
Report Generation
Matplotlib, Plotly, or Chart.js for defense analytics and summary dashboards.
Password Lists
Use popular lists like rockyou.txt, SecLists, or create a custom mini-dictionary.
1. Set Up Test Login Environment
Deploy a mock login form or use a test site with rate limiting and CAPTCHA enabled.
2. Write Request Simulation Logic
Use Python or Node.js to automate login attempts with delays and logging of results.
3. Track and Analyze Responses
Measure how many attempts succeed, fail, trigger errors, or are rate-limited.
4. Evaluate CAPTCHA Defenses
Try bypassing simple CAPTCHA or note how often it blocks scripted input.
5. Create Visual and Scored Report
Score the login system’s strength and export a report with suggestions and attack logs.
Test Your Defenses Before Hackers Do
Build an intelligent brute force simulator to stress test your login systems — and harden them using real-world metrics and automated security scoring.