I. Resource Managment

1. Thread Counts:

• Low (1 thread)
• Medium (4 threads)
• High (8 threads)
• Custom (1-1000 threads)

ClatsCracker uses Python’s ThreadPoolExecutor to parallelize tasks, optimizing performance for large-scale dictionary attacks or brute-force attempts. Thread locks (progress_lock and found_lock) ensure data consistency.