goeyewitnesscategorizer 0.1.2

Parse GoWitness SQLite results and categorize HTML using EyeWitness-style signatures to produce a CSV report.

goeyewitnesscategorizer

goeyewitnesscategorizer

GoWitness + EyeWitness HTML Matcher

This tool parses a GoWitness SQLite database and cross-references HTML content from discovered web interfaces against EyeWitness-style category and default credentials signature files. It produces a CSV report mapping each web interface to a category and potential default credentials.

🔧 Features

• Match HTML against EyeWitness-style pattern signatures.
• Assign a category and default credentials to each matched entry.
• Output a clean, filterable CSV report.
• CLI-driven with clear arguments.

Install via PIP

pip install goeyewitnesscategorizer
# then use "goeyewitnesscategorizer"

🗃️ Input Files

1. GoWitness SQLite DB

• Typically named gowitness.sqlite
• Must contain a results table with url, title, and html columns

2. categories.txt

• Format: string1;string2;...|CategoryName
• All strings must appear in the HTML for the category to be assigned.

3. signatures.txt

• Format: string1;string2;...|username:password or other default cred format

• • All strings must match for the full value after the pipe (|) to be recorded in the Default Credentials column.

categoriy and creds/signatures files

You can make your own, or rely on work done with the eyewitness project to get you started quickly

wget https://raw.githubusercontent.com/RedSiege/EyeWitness/refs/heads/master/Python/signatures.txt
wget https://raw.githubusercontent.com/RedSiege/EyeWitness/refs/heads/master/Python/categories.txt

📤 Output

• CSV report (default: gowitness_report.csv) with the following columns:
• URL
• Title
• Category
• Default Credentials

🚀 Usage

python goeyewitnesscategorizer.py \
--db gowitness.sqlite \
--categories categories.txt \
--creds signatures.txt \
--output output_report.csv

# OR with pip
goeyewitnesscategorizer \
--db gowitness.sqlite \
--categories categories.txt \
--creds signatures.txt \
--output output_report.csv

Requirements

• Python 3.7+
• pandas

Install Requirements

• pip install pandas