: If you are cracking a "fast" hash (like MD5 or NTLM) at billions of hashes per second, your CPU’s decompression speed may become a bottleneck, slowing down your GPU. Using Hashcat to load a compressed wordlist - Super User
# Using gunzip for .gz files gunzip -c wordlist.gz | hashcat -m 0 -a 0 hashes.txt # Using 7z for .7z files 7z e wordlist.7z -so | hashcat -m 0 -a 0 hashes.txt Use code with caution.
: When piping, Hashcat cannot build a dictionary cache. This means every time you restart the attack, Hashcat must re-read the entire stream from the beginning. Performance Considerations hashcat compressed wordlist
Using a is a powerful technique for password recovery experts to manage massive datasets without exhausting disk space . Modern versions of Hashcat (v6.0.0 and later) support "on-the-fly" decompression, allowing you to feed compressed files directly into the tool. Why Use Compressed Wordlists?
As wordlists grow into the terabyte range (e.g., the Weakpass collections), storage becomes a bottleneck. Compression provides: : If you are cracking a "fast" hash
Hashcat will detect the extension and decompress it in memory while processing. 2. Piping from Standard Input (Standard Unix Method)
: For massive files (e.g., 200GB+ compressed), Hashcat may take several minutes to "analyze" the file before cracking starts. This means every time you restart the attack,
: Widely recommended for its balance of speed and compression ratio.