HashID-Pro

A powerful command-line hash identification tool that analyzes hash strings and identifies their possible algorithms. Supports multiple hash types including MD5, SHA-1, SHA-256, SHA-512, Bcrypt, NTLM, and MySQL5.

Screenshots

Single Match (SHA-256)

Collision Detection (MD5 vs NTLM)

Features

• Multi-Algorithm Detection: Identifies multiple possible hash types for ambiguous hashes (e.g., MD5 vs NTLM)
• Confidence Scoring: Provides confidence levels (HIGH/MEDIUM/LOW) based on pattern uniqueness
• Rich CLI Output: Beautiful, colored table output using the Rich library
• Extensible: Easy to add new hash patterns

Supported Hash Types

Algorithm	Length	Confidence
MD5	32 hex chars	Low (overlaps with NTLM)
NTLM	32 hex chars	Low (overlaps with MD5)
SHA-1	40 hex chars	Medium
SHA-256	64 hex chars	Medium
SHA-384	96 hex chars	Medium
SHA-512	128 hex chars	Medium
Bcrypt	60 chars ($2a$, $2b$, $2y$ prefix)	High
MySQL5	41 chars (* prefix)	High
MySQL323	16 hex chars	Medium

Installation

1. Clone the repository:

git clone https://github.com/Ilias1988/HashID-Pro.git
cd HashID-Pro

2. Install dependencies:

pip install -r requirements.txt

Usage

Navigate to the hashid_pro directory and run the tool:

cd hashid_pro
python main.py <hash>

Examples

Identify an MD5/NTLM hash:

python main.py 5d41402abc4b2a76b9719d911017c592

Identify a SHA-256 hash:

python main.py 2cf24dba5fb0a30e26e83b2ac5b9e29e1b161e5c1fa7425e73043362938b9824

Identify a Bcrypt hash:

python main.py '$2a$12$R9h/cIPz0gi.URNNX3kh2OPST9/PgBkqquzi.Ss7KIUgO2t0jWMUW'

Identify a MySQL5 hash:

python main.py '*2470C0C06DEE42FD1618BB99005ADCA2EC9D1E19'

Sample Output

+------------------------------------------+
| HashID-Pro - Hash Identification Tool    |
+------------------------------------------+

Input Hash: 5d41402abc4b2a76b9719d911017c592
Length: 32 characters

+------------------+------------------------------------------------+
| Algorithm        | Confidence/Note                                |
+------------------+------------------------------------------------+
| MD5              | Confidence: LOW                                |
|                  | MD5 Message-Digest Algorithm                   |
+------------------+------------------------------------------------+
| NTLM             | Confidence: LOW                                |
|                  | NTLM (NT LAN Manager) Hash                     |
|                  | Note: Same format as MD5, context needed       |
+------------------+------------------------------------------------+

Found 2 possible match(es).

Project Structure

HashID-Pro/
├── hashid_pro/
│   ├── __init__.py
│   ├── hash_patterns.py   # Hash regex patterns and definitions
│   ├── analyzer.py        # HashAnalyzer class for hash identification
│   └── main.py            # CLI entry point
├── requirements.txt
├── .gitignore
└── README.md

API Usage

You can also use HashID-Pro as a library in your Python projects:

from hashid_pro.analyzer import HashAnalyzer

analyzer = HashAnalyzer()

# Analyze a single hash
results = analyzer.analyze('5d41402abc4b2a76b9719d911017c592')

for result in results:
    print(f"{result['type']}: {result['confidence']}")

# Check if a string is a valid hash
is_valid = analyzer.is_valid_hash('not_a_hash')  # False

# List all supported hash types
supported = analyzer.list_supported_types()

Contributing

Contributions are welcome! To add support for new hash types:

1. Add the regex pattern to hash_patterns.py in the PATTERNS or EXTENDED_PATTERNS dictionary
2. Update the confidence calculation in analyzer.py if needed
3. Add test cases and update documentation

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Created for the security community.