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Python utilities to parse technical information for security audits

Project description

KP Analysis Toolkit

The KP Analysis Toolkit is a comprehensive Python application designed to assist auditors with analyzing and processing various types of data encountered during security assessments. The toolkit provides specialized modules for different data formats and analysis tasks.

Overview

The toolkit currently includes three main modules:

Process Scripts

Formerly known as adv-searchfor, this module processes text files generated by KirkpatrickPrice's OS-specific collection scripts. It provides flexible search capabilities, automated analysis, and comprehensive reporting through Excel workbooks.

Supported Collection Scripts:

📖 View Process Scripts Documentation

Nipper Expander

A specialized tool for processing Nipper CSV export files. It transforms Nipper's compact CSV format (where multiple devices may be listed in a single row) into an expanded format with one row per device per finding, making it easier to analyze vulnerabilities using Excel pivot tables and other analysis tools.

📖 View Nipper Expander Documentation

RTF to Text Converter

Converts Rich Text Format (RTF) files to plain text files using ASCII encoding. This is particularly useful when customers provide router/firewall configurations as RTF documents instead of plaintext files.

📖 View RTF Converter Documentation

Requirements

System Requirements

The toolkit is built on Python and supports cross-platform operation:

  • Primary development platform: Windows
  • Supported platforms: Windows, macOS, Linux

Prerequisites

  • Python 3.12 or higher
  • pipx (Python application installer)

Recommended Tools

For Windows users, we recommend using the Windows Terminal from the Microsoft Store for a better command-line experience.

Installation

Installing pipx

Windows and other platforms:

pip install pipx

Ubuntu and Debian-based systems:

sudo apt install pipx

Installing the Toolkit

The toolkit is distributed via PyPI and can be installed using pipx:

Windows PowerShell:

pip install pipx
pipx ensurepath
# Restart PowerShell to update PATH
pipx install kp-analysis-toolkit

Linux/macOS:

# Install pipx (if not already installed via package manager)
sudo apt install pipx  # or use the package manager appropriate to your OS (e.g. brew)
pipx ensurepath
# Restart terminal to update PATH
pipx install kp-analysis-toolkit

Updates

Automatic Update Checking

Starting with version 2.0, the toolkit automatically checks for updates on PyPI each time you run it. If a newer version is available, you'll be prompted to upgrade:

📦 Update available: 2.0.0 → 2.0.1
Current version: 2.0.0
Latest version:  2.0.1

Would you like to upgrade now? [y/N]:

Upgrade Process:

  • The toolkit uses pipx to upgrade automatically
  • After successful upgrade, the application restarts with the new version
  • If upgrade fails (e.g. no Internet connection), you'll see an error message and can continue with the current version

Manual Updates

Update manually using pipx:

pipx upgrade kp-analysis-toolkit

Disabling Update Checks

Skip update checks for automated scripts:

kpat_cli --skip-update-check scripts --help

Note: Update checking requires a network connection. Without network access, you'll see a warning but the program continues normally.

Usage

Getting Started

After installation, the toolkit is available as kpat_cli (or kpat_cli.exe on Windows):

Note: Aliases are provided for legacy commands (e.g. adv-searchfor). They will be deprecated in a later version.

# Show main help
kpat_cli --help

# Show help for specific modules
kpat_cli scripts --help
kpat_cli nipper --help
kpat_cli rtf-to-text --help

Quick Examples

Process Scripts:

# Analyze files with default configuration
kpat_cli scripts

# Use specific configuration
kpat_cli scripts --conf audit-windows.yaml

Nipper Expander:

# Auto-detect CSV files in current directory
kpat_cli nipper

# Process specific file
kpat_cli nipper --in-file network-audit.csv

RTF Converter:

# Convert specific RTF file
kpat_cli rtf-to-text --in-file config.rtf

# Scan directory for RTF files
kpat_cli rtf-to-text --start-dir /path/to/files

Module Documentation

For detailed usage instructions, configuration options, and examples for each module:

Development

Running from Source

For development or testing purposes:

# Clone the repository
git clone https://github.com/kirkpatrickprice/analysis-toolkit.git
cd analysis-toolkit

# Install with uv (recommended)
uv sync

# Or install with pip
pip install -e .

# Run directly
python -m kp_analysis_toolkit.cli --help

Dependencies

The toolkit automatically installs required dependencies:

  • pandas and openpyxl for Excel processing
  • PyYAML for configuration files
  • click for command-line interface
  • pydantic for data validation
  • charset-normalizer for encoding detection
  • striprtf for RTF processing

Related Projects

Support

For issues, feature requests, or questions:

  • Check the module-specific documentation linked above
  • Review troubleshooting sections in individual module READMEs
  • Consult the CHANGELOG.md for version history

Version History

See CHANGELOG.md for a complete history of changes starting with version 2.0.0.

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