Skip to main content

Sensitive data detection tool with pre-commit hook support

Project description

Ferret Scan Python Package

A Python wrapper for Ferret Scan, a sensitive data detection tool. This package provides easy installation and seamless pre-commit hook integration.

Installation

pip install ferret-scan

Usage

Command Line

After installation, use ferret-scan exactly like the native binary:

# Basic scan
ferret-scan --file document.txt

# JSON output
ferret-scan --file document.txt --format json

# Quiet mode for scripts
ferret-scan --file document.txt --quiet

# Pre-commit mode with optimizations
ferret-scan --pre-commit-mode --confidence high,medium --checks all

Pre-commit Hook

Ferret Scan provides multiple pre-commit hook configurations for different security requirements. Add to your .pre-commit-config.yaml:

Default Configuration (Recommended)

repos:
  - repo: https://github.com/awslabs/ferret-scan
    rev: v1.0.0
    hooks:
      - id: ferret-scan

Strict Security (Blocks on high confidence findings)

repos:
  - repo: https://github.com/awslabs/ferret-scan
    rev: v1.0.0
    hooks:
      - id: ferret-scan-strict

Advisory Mode (Shows findings but never blocks)

repos:
  - repo: https://github.com/awslabs/ferret-scan
    rev: v1.0.0
    hooks:
      - id: ferret-scan-advisory

Secrets Only (Focus on API keys and tokens)

repos:
  - repo: https://github.com/awslabs/ferret-scan
    rev: v1.0.0
    hooks:
      - id: ferret-scan-secrets

Financial Data (Credit cards and financial info)

repos:
  - repo: https://github.com/awslabs/ferret-scan
    rev: v1.0.0
    hooks:
      - id: ferret-scan-financial

PII Detection (SSN, passport, email)

repos:
  - repo: https://github.com/awslabs/ferret-scan
    rev: v1.0.0
    hooks:
      - id: ferret-scan-pii

Metadata Check (Document metadata scanning)

repos:
  - repo: https://github.com/awslabs/ferret-scan
    rev: v1.0.0
    hooks:
      - id: ferret-scan-metadata

CI/CD Optimized (Structured output for pipelines)

repos:
  - repo: https://github.com/awslabs/ferret-scan
    rev: v1.0.0
    hooks:
      - id: ferret-scan-ci

Custom Configuration

You can also customize any hook with additional arguments:

repos:
  - repo: https://github.com/awslabs/ferret-scan
    rev: v1.0.0
    hooks:
      - id: ferret-scan
        args: ['--confidence', 'high', '--checks', 'CREDIT_CARD,SECRETS', '--verbose']

Local Installation

For local installations, use the ferret-scan command directly:

repos:
  - repo: local
    hooks:
      - id: ferret-scan
        name: Ferret Scan - Sensitive Data Detection
        entry: ferret-scan
        language: system
        files: '\.(txt|py|js|ts|go|java|json|yaml|yml|md|csv|log|conf|config|ini|env)$'
        args: ['--pre-commit-mode', '--confidence', 'high,medium']

How It Works

This Python package:

  1. Automatic Binary Download: Downloads the appropriate ferret-scan binary for your platform (Linux/macOS/Windows, x86_64/ARM64)
  2. Transparent Execution: Passes all arguments directly to the native binary
  3. Cross-Platform: Works on all platforms supported by ferret-scan
  4. Pre-commit Ready: Integrates seamlessly with pre-commit hooks with automatic optimizations

Supported Platforms

  • Linux: x86_64, ARM64
  • macOS: x86_64 (Intel), ARM64 (Apple Silicon)
  • Windows: x86_64, ARM64

Features

All features of the native ferret-scan binary are available:

  • Sensitive Data Detection: Credit cards, passports, SSNs, API keys, etc.
  • Multiple Formats: Text, JSON, CSV, YAML, JUnit, GitLab SAST output
  • Document Processing: PDF, Office documents, images
  • Pre-commit Optimizations: Automatic quiet mode, no colors, appropriate exit codes
  • Suppression Rules: Manage false positives
  • Configuration: YAML config files and profiles
  • Redaction: Remove sensitive data from documents

Command Line Options

The Python package supports all command-line options of the native binary:

  • --file: Input file, directory, or glob pattern
  • --format: Output format (text, json, csv, yaml, junit, gitlab-sast)
  • --confidence: Confidence levels (high, medium, low, combinations)
  • --checks: Specific checks to run (CREDIT_CARD, SECRETS, SSN, etc.)
  • --pre-commit-mode: Enable pre-commit optimizations
  • --verbose: Detailed information for findings
  • --quiet: Suppress progress output
  • --no-color: Disable colored output
  • --recursive: Recursively scan directories
  • --enable-preprocessors: Enable document text extraction
  • --config: Configuration file path
  • --profile: Configuration profile name

Requirements

  • Python 3.7+
  • Internet connection (for initial binary download)

License

Apache License 2.0 - see the LICENSE file for details.

Contributing

See the main Ferret Scan repository for contribution guidelines.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ferret_scan-1.2.7.tar.gz (15.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ferret_scan-1.2.7-py3-none-any.whl (11.5 kB view details)

Uploaded Python 3

File details

Details for the file ferret_scan-1.2.7.tar.gz.

File metadata

  • Download URL: ferret_scan-1.2.7.tar.gz
  • Upload date:
  • Size: 15.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ferret_scan-1.2.7.tar.gz
Algorithm Hash digest
SHA256 c30a66b0f14780c7f084e8a60bcc845b5f77c7c50674772aeab908c4ca08b7e9
MD5 1dbc13c88af9e6d981753806d9ca8d98
BLAKE2b-256 5575e957d2fff28c29f06dcfb58a8dfc46ffe100da46d7d08c1dae1cf76dad52

See more details on using hashes here.

Provenance

The following attestation bundles were made for ferret_scan-1.2.7.tar.gz:

Publisher: pypi-publish.yml on awslabs/ferret-scan

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ferret_scan-1.2.7-py3-none-any.whl.

File metadata

  • Download URL: ferret_scan-1.2.7-py3-none-any.whl
  • Upload date:
  • Size: 11.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ferret_scan-1.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 a377a14766a7aa969a59b3088b6bf737572f09a6c304fbc37efbb5b0eddd7ff8
MD5 5540f8af2bdab77dc4b0ccdda4ee4804
BLAKE2b-256 5cbc1628ea1c665afe70ad2d45e51a7edd7300425219a660e43dde54b3f804ec

See more details on using hashes here.

Provenance

The following attestation bundles were made for ferret_scan-1.2.7-py3-none-any.whl:

Publisher: pypi-publish.yml on awslabs/ferret-scan

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page