A single decompression stream is a bottleneck. If you have a 100GB wordlist compressed on a spinning HDD, the zcat process might feed Hashcat at 50 MB/s, but your RTX 4090 can process 100 GB/s worth of candidate rules.
It is essential to understand that Hashcat natively supports only compression formats. If you attempt to use a .7z (7-Zip) file, Hashcat will treat the compressed binary data as the wordlist itself, resulting in incorrect keyspace calculations and failed password recovery. As one user discovered, providing a .7z file yielded an artificially small keyspace (7,686,592 vs. the expected 1,134,583,776 from the uncompressed file), and candidates appeared as garbled hexadecimal data instead of plaintext. The lesson is clear: when using native Hashcat support, always use .gz or .zip formats.
Supported, but only if the archive contains a single file. How to run: hashcat -m 0 hashes.txt wordlist.gz Method 2: Piping (The Expert Way) hashcat compressed wordlist
Optimizing Hashcat with Compressed Wordlists: A Complete Guide
: Instead of using a 500GB compressed wordlist, it is often more efficient to use a smaller, high-quality list (like ) combined with Hashcat Rules ) to generate permutations on the fly. most effective rule sets to use with smaller compressed wordlists? A single decompression stream is a bottleneck
For .7z or password-protected (non-encrypted header) archives:
Decompression happens on the CPU. If you are cracking a very fast hash (e.g., NTLM) using multiple high-end GPUs, the CPU might not decompress the wordlist fast enough to feed the graphics cards. If you attempt to use a
You cannot automatically resume a paused session that uses a standard pipe. Advanced Optimization Tips
Reading a compressed file and decompressing it in RAM is often faster than reading a massive raw file from a slow disk.