Create realistic brute force and password cracking logs for security testing. Simulate rainbow table attacks, hash cracking, and failed login attempts for IDS/SIEM development.
Press Ctrl + C to exit. Output is simulated for demo purposes only.
This module simulates hash lists, rainbow tables, and match progress log events with realistic pacing.
It is designed for demos, log pipeline testing, and documentation where the real stack is unavailable.
All output is generated locally in the browser and is safe to run.
=> Hashes to decrypt 3f5b1e6a9f0c2d1e4f9b1c3d5e7a9b0c => Extracting Rainbow Table [====/ ] => Begin matching :: 12ab34cd56ef7890 :: => Match found 3f5b1e6a9f0c2d1e4f9b1c3d5e7a9b0c:james42
No. It is a simulator that prints log text only.
Yes. The CLI supports speed and repeat options, and the web page can be refreshed.
No. It does not install, update, or modify anything.
Brute force and hash-cracking tools produce progress output, rainbow table usage, and match results. Security teams use such logs for testing IDS and SIEM.
This simulator generates similar-looking lines for safe demos and documentation without running real cracking tools.
Popular questions and answers from Stack Overflow related to brute force.
Implement rate limiting, use CAPTCHA after failed attempts, require strong passwords, enable account lockout policies, use multi-factor authentication, and consider tools like fail2ban.
Brute force tries all possible combinations systematically, while dictionary attacks use a predefined list of likely passwords. Dictionary attacks are faster but may miss uncommon passwords.
Depends on charset and speed. 8-char lowercase at 1B/sec: ~3 days. Add uppercase: ~2 years. Add numbers/symbols: decades. 12+ chars with complexity: practically impossible with current technology.
Credential stuffing uses leaked username/password pairs from breaches to try on other sites. Brute force systematically tries combinations. Stuffing exploits password reuse, brute force tries to guess passwords.
fail2ban monitors log files for failed login attempts. After X failures from an IP in Y seconds, it adds a firewall rule to block that IP for a duration. Configurable via /etc/fail2ban/jail.conf.
Rainbow tables are precomputed hash-to-password lookup tables. They trade storage for time - instead of computing hashes during attack, look them up. Defeated by salting passwords. Modern bcrypt/argon2 are immune.
Look for: multiple failed logins from same IP, sequential or pattern-based usernames tried, high volume of auth requests in short time. Tools: grep failed auth logs, use log analyzers like Splunk, ELK stack.
bcrypt with sufficient cost factor (12+) makes brute force impractical. It is deliberately slow and includes salt. Each hash takes ~100ms, making billions of attempts infeasible. Still need rate limiting for online attacks.
Password spraying tries common passwords against many accounts, avoiding lockout thresholds. Instead of 1000 passwords vs 1 account, try 1 password vs 1000 accounts. Evades per-account lockout policies.
Track attempts per IP and per account separately. Use exponential backoff: 1s, 2s, 4s... delays after failures. Consider CAPTCHA after 3-5 failures. Use Redis or similar for distributed rate limiting.
Popular video tutorials to learn more about brute force.
David Bombal
Learn about password attack methods including brute force, dictionary attacks, and rainbow tables. Includes defensive best practices.
Watch on YouTubeHackerSploit
Implement protection against brute force attacks using rate limiting, fail2ban, multi-factor authentication, and account lockout policies.
Watch on YouTube
