๐ HashiCorp Vault Explained: Components, Architecture, and Data Protection
Vault by HashiCorp is a great tool. Its main purpose is to protect our secrets, store sensitive data and encrypt everything correctly. This guide will take you through Vault's key elements such as storage backends, secrets engines, auth methods and the data protection architecture of vault. We will see how every piece comes together to provide a secure, reliable and efficient way of handling sensitive information which is what makes Vault the go to vault for organizations everywhere. ๐
HashiCorp Vault Components
๐ ๏ธ Storage Backends
Storage backends are a kind of warehouse that Vault stores our secrets in. This is where everything is stored, securely locked and organized. A storage backend can be either Consul, DynamoDB or even an S3 bucket, each ensuring our data is encrypted and safe.
๐ Key Features of Storage Backends:
Location for Secrets: Vault uses the storage backend to keep all our valuable data, ensuring everything is encrypted to stay secure.
Encrypted Storage: Data in Vault is encrypted in two stages:
In Transit: Like a package being delivered, the data is protected while moving.
At Rest: Once the data reaches the warehouse, it is securely locked.
High Availability: Certain backends, like Consul or Raft, support high availability, allowing multiple Vault servers to work together. Imagine a 24/7 warehouse with multiple security guards ensuring our data's safety.
One Backend per Cluster: Each Vault cluster is linked to a single storage backend. Picture each group of servers having their own locked warehouse. ๐ข
๐ก๏ธ Secrets Engines
๐ฅ Why Are Secrets Engines Important?
Secrets engines are like the factory where Vault creates, stores, or encrypts secrets. For example, the AWS Secrets Engine allows us to generate AWS credentials dynamically, and the Database Secrets Engine can generate database credentials for PostgreSQL or MySQL on demand. Without secrets engines, Vault would just be an empty boxโitโs the core function that makes Vault valuable.
๐ How Do Secrets Engines Work?
Store Secrets: They store passwords, certificates, or keys.
Generate Secrets: They create dynamic credentials for other services.
Example: If we need a temporary key to access an online service, Vault can create one just for that moment.Encryption: They encrypt any sensitive data before storing it.
๐ง Enabling and Managing Secrets Engines
Enable Secrets Engines: We enable a secrets engine via the CLI or API. By default, the secrets engine is mounted at a specific path:
$ vault secrets enable -path=my-kv kv
This command enables a key-value secrets engine at the path
my-kv
. Customizing paths helps us organize secrets better, especially when managing multiple environments.Default Paths and Mount Points: Secrets engines are mounted at a unique path. For example, enabling the AWS Secrets Engine will make it accessible at
aws/
. This flexibility allows us to have separate paths for different teams or applications.Disabling Secrets Engines: Disabling a secrets engine will remove access to all secrets managed by that engine. For example:
$ vault secrets disable my-kv
This command disables the secrets engine at
my-kv
, effectively removing all secrets stored there.Note: Care must be taken when disabling a secrets engine, as it immediately revokes access to all secrets managed by that engine.
๐ Working with Data in Secrets Engines
Action | Command | Description |
Add Data | $ vault kv put kv/hello target=world | Creates a secret at the path kv/hello with the key-value pair target=world . |
Read Data | $ vault kv get kv/hello | Retrieves the stored data, showing the key (target ) and its value (world ). |
Update Secrets | $ vault kv put kv/my-secret value="s3c(eT" | Stores the secret at kv/my-secret , which can be retrieved similarly with kv get . |
Delete Secrets | $ vault kv delete kv/my-secret | Deletes the secret at the specified path. |
List Secrets | $ vault kv list kv/ | Lists all the keys under kv/ , like hello , making it easier to manage secrets. |
Add Data: To add data to a secrets engine, we use the
kv put
command. For instance:$ vault kv put kv/hello target=world
This command creates a secret at the path
kv/hello
with the key-value pairtarget=world
.Read Data: To read the secrets stored at a specific path, we use the
kv get
command:$ vault kv get kv/hello
This command retrieves the stored data, showing the key (
target
) and its value (world
).Update Secrets: We can add more secrets to a different path:
$ vault kv put kv/my-secret value="s3c(9T"
This stores the secret at
kv/my-secret
, and we can retrieve it similarly withkv get
.Delete Secrets: To delete secrets, use the
kv delete
command:$ vault kv delete kv/my-secret
This deletes the secret at the specified path.
List Secrets: We can also list existing keys at a specific path to see what secrets are available:
$ vault kv list kv/
This command lists all the keys under
kv/
, likehello
, making it easier to manage secrets.
๐ Secrets Engines Features:
On-Demand Credentials: Imagine a password machine that gives us a new password every time we need it, instead of keeping an old one.
Multiple Engines: We can use different secrets engines for different needs. Think of multiple labeled drawersโone for passwords, one for certificates, and another for tokens.
Paths for Isolation: All secrets are kept in different rooms (paths), and we need the correct key to access each room.
Flexible Secrets Storage: Secrets engines can be used for static secrets (e.g., storing existing credentials) or dynamic secrets (e.g., generating temporary access credentials). This flexibility allows us to meet different security needs easily.
Example Secrets Engines:
Key/Value Secrets Engine: A simple key-value store that we use to manage arbitrary secrets like API keys or configuration data.
PKI Secrets Engine: Used to generate dynamic X.509 certificates. Think of this as an automated certificate authority, providing certificates on demand.
Transit Secrets Engine: This engine provides encryption as a service. It encrypts data without storing it, meaning we can protect sensitive information without having to manage the actual keys ourselves.
๐ Benefits of Secrets Engines
Dynamic Secrets for Security: By generating secrets dynamically, we reduce the risk of credential leakage since secrets are short-lived.
Auditability: Every interaction with a secrets engine is logged, providing a clear audit trail. This ensures we have visibility over who accessed which secrets and when.
Reduced Secrets Sprawl: Secrets engines help centralize secrets management, reducing the spread of hardcoded credentials across different systems.
๐ Auth Methods
๐งโ๐ป How to Authenticate to Vault?
To open Vault, we need to authenticateโwhich means proving our identity to gain access. This can be done using different methods depending on whether we are a human user or an application. For example, a human user might use a username and password or a third-party login like Google (OIDC), whereas an application might use a token or TLS certificate to authenticate.
๐ Types of Auth Methods:
Human Authentication: Like using a username and password.
- Examples: Username/Password, Google login (OIDC), LDAP.
Machine Authentication: Used by applications or robots.
- Examples: Tokens, AppRole, TLS certificates.
โ๏ธ Enabling and Disabling Auth Methods
Enable Auth Methods: We can enable an auth method using the CLI or API. For example:
$ vault auth enable userpass
When enabled, auth methods work like secrets engines and are mounted in the Vault mount table. By default, all auth methods are mounted under the
auth/
prefix. For instance, enabling the GitHub auth method will make it accessible atauth/github
.Custom Path for Auth Methods: We can customize the mount path to suit advanced use cases. For example:
$ vault auth enable -path=my-login userpass
This enables the
userpass
auth method at theauth/my-login
path, allowing greater flexibility in managing authentication.Disable Auth Methods: When an auth method is disabled, all users authenticated via that method are automatically logged out, ensuring no lingering access points.
๐ Token System
Tokens are like a hotel room card once authenticated, we use the card to access our designated area.
Each token has:
Policies: These define what we can access, like which rooms in the hotel weโre allowed to enter.
TTL (Time To Live): Tokens have an expiry time, just like how a hotel keycard only works until checkout.
๐ Audit Devices
๐ฅ What Are Audit Devices?
Audit devices are like security cameras for Vault. They record every move, including access attempts, successful authentications, and system interactions, to ensure everything is safe and accountable.
๐ How Do Audit Devices Work?
Logging Everything: Audit devices ensure every action is recorded. Logs are formatted in JSON for easy readability. Sensitive information, like passwords, is hidden in these logs to maintain security.
Enabling/Disabling Audit Devices:
Enable: To enable an audit device, use the command:
$ vault audit enable file file_path=/var/log/vault_audit.log
This enables the file audit device and specifies the log path.
Disable: When disabled, the audit device stops receiving logs immediately, but previously stored logs remain intact.
Note: Configuration is replicated across nodes in a cluster. Ensure all nodes can log successfully to avoid blocking requests.
Multiple Audit Devices: We recommend having more than one audit device, just like having multiple security cameras around a bank.
Blocked Audit Devices:
Blocking Failures: If an audit device cannot write logs, Vault will not respond until the issue is resolved.
Non-Blocking Failures: If multiple audit devices are enabled, Vault can proceed as long as one device is able to write logs successfully.
Priority for Safety: If Vault cannot write logs, it wonโt proceed. This is like not letting anyone into a bank until the security cameras are running.
๐๏ธ Vault Architecture
Vaultโs architecture is the foundation that keeps everything safe and organized:
HTTPS & API Integration: Users and applications communicate with Vault using HTTPS and an API. Think of it as sending letters through a highly secure mailbox.
Storage Backend: All data is stored here. Whether itโs Consul, DynamoDB, S3 bucket, or even in memory during development modeโVault keeps everything encrypted for safety.
Vault Core: The core is where all the important features reside, like the policy store, audit devices, system backend, secrets engines, and auth methods.
Cryptographic Barrier: All core components are protected by a cryptographic barrier.
We must be authenticated to cross this barrier, ensuring only authorized entities get through.
The storage backend is not trusted by Vault by default. Everything is encrypted before it leaves the Vault core.
๐ค๏ธ Vault Paths
Paths as Organizers: Paths help organize secrets and manage access, creating isolated environments for different teams or projects. For instance, separate paths for a production database and a development database keep the environments independent and secure.
Considerations for Assigning Paths:
Choose meaningful and unique names.
Paths should be descriptive enough to indicate the type of secret or service it relates to (e.g.,
/aws/credentials/dev
for AWS credentials in the development environment).This makes managing secrets easier and prevents confusion.
๐ Vault Data Protection
๐ก๏ธ How Does Vault Protect Our Data?
So, how does Vault actually keep our most critical secrets safe?
Encrypted Storage Backend: Data is always encrypted before being stored. Itโs like making sure all the treasure is put into a locked box before moving it into a vault.
Encryption Key and Master Key:
Encryption Key: This key is used to encrypt the data before it is stored.
Master Key: This key encrypts the encryption key itself. Think of it as a double lock:
Encryption Key locks the data.
Master Key locks the encryption key to ensure an extra layer of security.
Decryption Process: When Vault needs data, the master key is used to unlock the encryption key, then encryption key is used to decrypt the data. The encryption key is stored in memory for Vault nodes to use.
๐ Master Key vs. Encryption Key
Feature | Master Key | Encryption Key |
Purpose | Encrypts and decrypts the encryption key. | Encrypts and decrypts actual data in backend storage. |
Creation | Created during Vault initialization. | Created as needed to encrypt backend data. |
Storage | Not stored in traditional unseal methods for security. | Stored in an encrypted form alongside backend data. |
Rotation | Rarely rotated, mainly used for key management. | Can be easily rotated for added security, ensuring continuity. |
Protection Level | Acts as an additional layer of security for encryption key. | Directly protects sensitive data by encryption. |
Vaultโs layers of encryption make sure that even if someone accesses the storage backend, they still cannot read the data. This double protection makes unauthorized access nearly impossible.
๐ฏ Conclusion
HashiCorp Vault is an essential tool for securely managing and storing secrets. Understanding its core components such as storage backends, secrets engines, auth methods, audit devices, and its architecture is crucial for effective use. Each component plays a vital role in creating a secure system that integrates storage, access, monitoring, and data protection, ensuring confidentiality and integrity.
The storage backend acts as a secure warehouse `for data, while secrets engines function as factories generating and managing secrets. Auth methods provide the keys for access, and audit devices serve as security cameras monitoring all activities. The architecture ties everything together under a cryptographic barrier, ensuring data remains protected from unauthorized access.
By mastering these components, organizations can confidently secure sensitive information, manage secrets efficiently, and establish a high-security environment with HashiCorp Vault. This comprehensive approach ensures that secrets remain safe and sound, providing peace of mind in managing critical data.
References
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Written by
Tanvir Sayyad
Tanvir Sayyad
Hi there! I am a competent DevOps Engineer with 2 years of experience in the IT domain with tools and technologies diversity. My professional background encompasses Jenkins, Ansible, HashiCorp Vault, Bitbucket, GitHub, Nexus, Maven, Ant, and Docker. Some of the technologies that I'm familiar with are Terraform, Kubernetes, and GitLab CI/CD. My thirst for learning is never quenched, and in turn, I share my views on it through my blog. Let's connect and learn DevOps together! Feel free to reach out if youโre interested in collaboration or discussions about DevOps innovations at tanvir.sayyad1011@gmail.com.!