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Naive hashcat

MITC

A plug-and-play script to crack password hashes using pre-configured, empirically-tuned hashcat attacks.

GitHubGitHub
1.4k stars173 forks0 contributors

What is Naive hashcat?

Naive Hashcat is a Bash script that simplifies password hash cracking by providing pre-configured attack parameters for the hashcat tool. It allows users to recover plaintext passwords from cryptographic hashes using a sequence of dictionary, combinator, rule-based, and mask attacks without needing to understand hashcat's intricate settings. The project is designed for educational use to demonstrate password vulnerability and security testing.

Target Audience

Security researchers, penetration testers, and students learning about cryptography and password security who need a straightforward way to run hashcat attacks without deep configuration.

Value Proposition

It removes the steep learning curve of hashcat by offering a ready-to-run script with empirically-tuned parameters, enabling users to start cracking hashes immediately while still leveraging hashcat's powerful GPU-accelerated engine.

Overview

Crack password hashes without the fuss :cat2:

Use Cases

Best For

  • Learning password cracking techniques in a controlled environment
  • Testing the strength of organizational password policies
  • Recovering forgotten passwords from hashes in legitimate security assessments
  • Educational demonstrations of hash vulnerability
  • Cracking MD5 and other common hash types from leaked data
  • Matching cracked passwords to usernames in credential dumps

Not Ideal For

  • Advanced penetration testers who require fine-tuned, custom attack strategies for specific hash algorithms
  • Cracking modern, resilient hashes like bcrypt or Argon2 where dictionary attacks are largely ineffective
  • Forensic or legal investigations needing reproducible, documented attack sequences for compliance
  • Environments without GPU hardware, as the script optimizes for GPU acceleration and may underperform on CPU-only systems

Pros & Cons

Pros

Pre-configured Attack Pipeline

Runs a sequence of empirically-tested dictionary, combinator, rule-based, and mask attacks automatically, saving users from configuring hashcat's complex options as noted in the README.

Minimal Setup Required

After cloning the repo and downloading the rockyou dictionary, users can start cracking with a single command, making it accessible for quick experiments without deep hashcat knowledge.

GPU Acceleration Enabled

Leverages hashcat's OpenCL support to automatically use available GPU hardware for faster cracking, as mentioned in the GPU Cracking section.

Integrated Credential Matcher

Includes match-creds.py to easily associate cracked passwords with usernames from leaked data files, streamlining the post-cracking workflow described in the usage guide.

Cons

Limited Cracking Success Rate

The README admits it only cracks about 60% of hashes in the example file, making it unreliable for comprehensive password recovery against secure hashes.

Lack of Customization Options

Uses fixed attack parameters with no built-in way to adjust rules, masks, or dictionaries without modifying the source code, reducing flexibility for specific scenarios.

Setup Dependencies and Outdated References

Requires downloading external files like rockyou.txt and building hashcat on macOS; references to hashcat-3.6.0 suggest it may not be updated for newer hashcat versions or hash types.

Frequently Asked Questions

Quick Stats

Stars1,399
Forks173
Contributors0
Open Issues9
Last commit4 years ago
CreatedSince 2017

Tags

#educational#dictionary-attack#hash-cracking#security-tool#password-cracking#hacking#cryptography#hashcat#hash-recovery#gpu-accelerated#pentesting

Built With

B
Bash
O
OpenCL
P
Python

Included in

Password Cracking913
Auto-fetched 1 day ago

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