Why You Must Sanitize Code Before Pasting Into LLMs
Developers paste code snippets into ChatGPT, Claude, and Copilot hundreds of times per week. When configuration files or error logs contain live production credentials, those secrets risk being stored in model chat logs, retained in conversation history, or exposed to third-party telemetry.
Why Synthetic Replacement Beats Simple Blanking
If you replace an API key or database connection string with *** or delete it entirely,
the AI model often encounters JSON syntax errors, malformed URL exceptions, or crashes in test harnesses.
PasteGuard generates syntactically valid mock strings (e.g. postgresql://mock_user:mock_pass@localhost:5432/mock_db)
so the AI understands the configuration structure and writes correct code on the first attempt.
Detected Secret Types:
- AI Platforms: OpenAI (
sk-...), Anthropic (sk-ant-...), HuggingFace (hf_...), Cohere. - Cloud Providers: AWS Access Keys (
AKIA...), AWS Secret Keys, GCP Service Accounts, Azure Keys. - Payment & Auth: Stripe Secret/Public/Restricted Keys (
sk_live_...), GitHub PATs (ghp_...), GitLab tokens. - Databases: Postgres, MySQL, MongoDB, Redis, and AMQP connection strings with embedded passwords.
- Cryptographic Keys: RSA, EC, OpenSSH, and DSA private keys (PEM format).
- Personal Data (PII): Email addresses, phone numbers, IPv4 addresses, and credit card numbers.