scrub-ai 1.1.0

Sanitize sensitive content from any text before sharing with AI assistants

🧹 scrub-ai

Sanitize sensitive content from any text before sharing with AI assistants.

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The Problem

Every day, developers copy sensitive content into AI assistants without thinking:

❌ Stack trace with internal hostnames    → pasted into ChatGPT
❌ Application logs with session tokens   → pasted into Copilot
❌ Config files with database passwords   → pasted into Claude
❌ kubectl output with cluster names      → pasted into AI
❌ AWS CLI output with account IDs        → pasted into ChatGPT

Once that data leaves your machine, you have no control over it.

scrub-ai fixes this — it detects and masks sensitive content before you share it with any AI tool.

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Features

• 🔑 Secrets detection — API keys, tokens, passwords, private keys
• ☁️ Cloud detection — AWS account IDs, ARNs, GCP project IDs, Azure subscriptions
• 🌐 Network detection — IP addresses, internal hostnames, internal URLs
• ⌨️ Windows hotkey — press Ctrl+Alt+S to sanitize clipboard instantly
• 🖥️ System tray — runs quietly in the background
• 📋 CLI — pipe any text through it from the terminal
• 📦 PyPI — install with a single pip install scrub-ai

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Quick Start

Install

pip install scrub-ai

CLI Usage

# Pipe any text through it
cat error.log | scrub-ai

# Sanitize a file
scrub-ai --file crash.log

# See what would be detected without changing anything
scrub-ai --dry-run --file logs.txt

# Sanitize and copy result to clipboard
scrub-ai --file logs.txt --copy

Hotkey Usage (Windows only)

# Start scrub-ai in the background
scrub-ai --start

# Icon appears in system tray (bottom right)
# Copy any text with Ctrl+C as normal
# Press Ctrl+Alt+S to sanitize clipboard
# Paste clean text with Ctrl+V

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Example

Input:

ERROR 2024-01-15 14:32:01 - Connection failed
  host: db01.prod.internal
  password: myS3cretP@ss123
  aws_access_key_id: AKIAIOSFODNN7EXAMPLE
  aws_account_id: 123456789012
  ip: 10.0.1.45

Output:

ERROR 2024-01-15 14:32:01 - Connection failed
  host: [INTERNAL_HOST]
  password: [REDACTED]
  aws_access_key_id: [AWS_ACCESS_KEY]
  aws_account_id: [AWS_ACCOUNT_ID]
  ip: [IP_ADDRESS]

Detection summary (stderr):

Detected 5 sensitive value(s): aws_access_key=1, aws_account_id=1, internal_host=1, ipv4=1, password=1

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What Gets Detected

Category	Examples
AWS credentials	Access keys, secret keys, session tokens
AWS infrastructure	Account IDs, ARNs, S3 URLs
GCP credentials	Service account keys, project IDs
Azure credentials	Subscription IDs, connection strings
Generic secrets	API keys, bearer tokens, JWTs, private keys, hex tokens
Passwords	password=, passwd=, pwd= key-value patterns
Network	IPv4, IPv6, internal hostnames, internal URLs

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Roadmap

• Project setup
• v1.0 — CLI + secrets + cloud + network detection + Windows hotkey + system tray
• v1.1 — PII detection (emails, phones) via Presidio
• v1.2 — Watch mode (automatic clipboard monitoring)
• v2.0 — VS Code extension
• v2.1 — Browser extension (warns before pasting into ChatGPT)
• v3.0 — Team policies + audit log

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Contributing

Contributions are welcome! Please read CONTRIBUTING.md first.

# Clone
git clone https://github.com/rajwindermarwaha/scrub-ai
cd scrub-ai

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

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License

MIT — see LICENSE

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Author

Built by @rajwindermarwaha

Built this because I had to put in the extra effort of copying everything into Notepad first and manually scrubbing it before sharing with AI tools. Figured others do the same.