A CLI tool to whisper your secrets between secure vault and your local environment
Project description
Whispr
Whispr (Pronounced as whisper) is a CLI tool to safely inject secrets from your favorite secret vault (Ex: AWS Secrets Manager, Azure Key Vault etc.) into your app's environment. This is very useful for enabling secure local software development.
Whispr uses keys (with empty values) specified in a .env
file and fetches respective secrets from a vault, and sets them as environment variables before launching an application.
Key Features of Whispr:
- Safe Secret Injection: Fetch and inject secrets from your desired vault using HTTPS, SSL encryption, strict CERT validation.
- Just In Time (JIT) Privilege: Set environment variables for developers only when they're needed.
- Secure Development: Eliminate plain-text secret storage and ensure a secure development process.
- Customizable Configurations: Configure project-level settings to manage multiple secrets for multiple projects.
- No Custom Scripts Required: Whispr eliminates the need for custom bash scripts or cloud CLI tools to manage secrets, making it easy to get started.
- Easy Installation: Cross-platform installation with PyPi.
Supported Vault Technologies:
Why use Whispr ?
The MITRE ATT&CK Framework Tactic 8 (Credential Access) suggests that adversaries can exploit plain-text secrets and sensitive information stored in files like .env
. It is essential to avoid storing
sensitive information in unencrypted files. To help developers, Whispr can safely fetch and inject secrets from a vault into the current shell environment. This enables developers to securely manage
credentials and mitigate advisory exploitation tactics.
Installation and Setup
Installing Whispr
To get started with Whispr, simply run:
pip install whispr
Configuring Your Project
Step 1: Initialize Whispr
Run whispr init <vault_type>
in your terminal to create a whispr.yaml
file in your project root. This file will store your configuration settings.
The available vault types are: aws
, azure
, and gcp
.
Example whispr.yaml contents (For: AWS):
env_file: '.env'
secret_name: <your_secret>
vault: aws
This default configuration will inject fetched secrets into os.environ
of main process. If your app instead want to receive secrets as STDIN arguments, use no_env: true
field.
This is a secure way than default control but app now should parse arguments itself.
env_file: '.env'
secret_name: <your_secret>
vault: aws
no_env: true # Setting true will send KEY1=VAL1 secret pairs as command args
Setting Up Your Injectable Secrets
Step 2: Create or Configure a Secret File
Create a new .env
file with empty values for your secret keys. For example:
POSTGRES_USERNAME=
POSTGRES_PASSWORD=
Note: You can also control filename with env_file
key in your whispr.yaml
.
Step 3: Authenticating to Your Vault (Ex:AWS)
- Authenticate to AWS using Short-term credentials.
- Alternatively, set temporary AWS credentials using a config file or environment variables.
Note: Use respective authentication methods for other vaults.
Launch any Application using Whispr
Now, you can run any app using: whispr run '<your_app_command_with_args>'
(mind the single quotes around command) to inject your secrets before starting the subprocess.
Examples:
whispr run 'python main.py' # Inject secrets and run a Python program
whispr run 'node server.js --threads 4' # Inject secrets and run a Node.js express server
whispr run 'django manage.py runserver' # Inject secrets and start a Django server
whispr run '/bin/sh ./script.sh' # Inject secrets and run a custom bash script. Script should be permitted to execute
whispr run 'semgrep scan --pro' # Inject Semgrep App Token and scan current directory with Semgrep SAST tool.
Programmatic Access
Whispr can also be used programmatically from Python code. See this guide for more information.
https://github.com/narenaryan/whispr/blob/docs/main/usage-guides/programmatic-access.md
TODO
- Support HashiCorp Vault
- Support 1Password Vault
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