ffa4825693
* Ensure correct write ordering in rebuildIssuersChains When troubleshooting a recent migration failure from 1.10->1.11, it was noted that some PKI mounts had bad chain construction despite having valid, chaining issuers. Due to the cluster's leadership trashing between nodes, the migration logic was re-executed several times, partially succeeding each time. While the legacy CA bundle migration logic was written with this in mind, one shortcoming in the chain building code lead us to truncate the ca_chain: by sorting the list of issuers after including non-written issuers (with random IDs), these issuers would occasionally be persisted prior to storage _prior_ to existing CAs with modified chains. The migration code carefully imported the active issuer prior to its parents. However, due to this bug, there was a chance that, if write to the pending parent succeeded but updating the active issuer didn't, the active issuer's ca_chain field would only contain the self-reference and not the parent's reference as well. Ultimately, a workaround of setting and subsequently unsetting a manual chain would force a chain regeneration. In this patch, we simply fix the write ordering: because we need to ensure a stable chain sorting, we leave the sort location in the same place, but delay writing the provided referenceCert to the last position. This is because the reference is meant to be the user-facing action: without transactional write capabilities, other chains may succeed, but if the last user-facing action fails, the user will hopefully retry the action. This will also correct migration, by ensuring the subsequent issuer import will be attempted again, triggering another chain build and only persisting this issuer when all other issuers have also been updated. Signed-off-by: Alexander Scheel <alex.scheel@hashicorp.com> * Remigrate ca_chains to fix any missing issuers In the previous commit, we identified an issue that would occur on legacy issuer migration to the new storage format. This is easy enough to detect for any given mount (by an operator), but automating scanning and remediating all PKI mounts in large deployments might be difficult. Write a new storage migration version to regenerate all chains on upgrade, once. Signed-off-by: Alexander Scheel <alex.scheel@hashicorp.com> * Add changelog entry Signed-off-by: Alexander Scheel <alex.scheel@hashicorp.com> * Add issue to PKI considerations documentation Signed-off-by: Alexander Scheel <alex.scheel@hashicorp.com> * Correct %v -> %w in chain building errs Signed-off-by: Alexander Scheel <alex.scheel@hashicorp.com> Signed-off-by: Alexander Scheel <alex.scheel@hashicorp.com> |
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README.md
Vault 
Please note: We take Vault's security and our users' trust very seriously. If you believe you have found a security issue in Vault, please responsibly disclose by contacting us at security@hashicorp.com.
- Website: https://www.vaultproject.io
- Announcement list: Google Groups
- Discussion forum: Discuss
- Documentation: https://www.vaultproject.io/docs/
- Tutorials: HashiCorp's Learn Platform
- Certification Exam: Vault Associate
Vault is a tool for securely accessing secrets. A secret is anything that you want to tightly control access to, such as API keys, passwords, certificates, and more. Vault provides a unified interface to any secret, while providing tight access control and recording a detailed audit log.
A modern system requires access to a multitude of secrets: database credentials, API keys for external services, credentials for service-oriented architecture communication, etc. Understanding who is accessing what secrets is already very difficult and platform-specific. Adding on key rolling, secure storage, and detailed audit logs is almost impossible without a custom solution. This is where Vault steps in.
The key features of Vault are:
-
Secure Secret Storage: Arbitrary key/value secrets can be stored in Vault. Vault encrypts these secrets prior to writing them to persistent storage, so gaining access to the raw storage isn't enough to access your secrets. Vault can write to disk, Consul, and more.
-
Dynamic Secrets: Vault can generate secrets on-demand for some systems, such as AWS or SQL databases. For example, when an application needs to access an S3 bucket, it asks Vault for credentials, and Vault will generate an AWS keypair with valid permissions on demand. After creating these dynamic secrets, Vault will also automatically revoke them after the lease is up.
-
Data Encryption: Vault can encrypt and decrypt data without storing it. This allows security teams to define encryption parameters and developers to store encrypted data in a location such as a SQL database without having to design their own encryption methods.
-
Leasing and Renewal: All secrets in Vault have a lease associated with them. At the end of the lease, Vault will automatically revoke that secret. Clients are able to renew leases via built-in renew APIs.
-
Revocation: Vault has built-in support for secret revocation. Vault can revoke not only single secrets, but a tree of secrets, for example, all secrets read by a specific user, or all secrets of a particular type. Revocation assists in key rolling as well as locking down systems in the case of an intrusion.
Documentation, Getting Started, and Certification Exams
Documentation is available on the Vault website.
If you're new to Vault and want to get started with security automation, please check out our Getting Started guides on HashiCorp's learning platform. There are also additional guides to continue your learning.
For examples of how to interact with Vault from inside your application in different programming languages, see the vault-examples repo. An out-of-the-box sample application is also available.
Show off your Vault knowledge by passing a certification exam. Visit the certification page for information about exams and find study materials on HashiCorp's learning platform.
Developing Vault
If you wish to work on Vault itself or any of its built-in systems, you'll first need Go installed on your machine.
For local dev first make sure Go is properly installed, including setting up a
GOPATH. Ensure that $GOPATH/bin is in
your path as some distributions bundle the old version of build tools. Next, clone this
repository. Vault uses Go Modules,
so it is recommended that you clone the repository outside of the GOPATH.
You can then download any required build tools by bootstrapping your environment:
$ make bootstrap
...
To compile a development version of Vault, run make or make dev. This will
put the Vault binary in the bin and $GOPATH/bin folders:
$ make dev
...
$ bin/vault
...
To compile a development version of Vault with the UI, run make static-dist dev-ui. This will
put the Vault binary in the bin and $GOPATH/bin folders:
$ make static-dist dev-ui
...
$ bin/vault
...
To run tests, type make test. Note: this requires Docker to be installed. If
this exits with exit status 0, then everything is working!
$ make test
...
If you're developing a specific package, you can run tests for just that
package by specifying the TEST variable. For example below, only
vault package tests will be run.
$ make test TEST=./vault
...
Importing Vault
This repository publishes two libraries that may be imported by other projects:
github.com/hashicorp/vault/api and github.com/hashicorp/vault/sdk.
Note that this repository also contains Vault (the product), and as with most Go
projects, Vault uses Go modules to manage its dependencies. The mechanism to do
that is the go.mod file. As it happens, the presence of that file
also makes it theoretically possible to import Vault as a dependency into other
projects. Some other projects have made a practice of doing so in order to take
advantage of testing tooling that was developed for testing Vault itself. This
is not, and has never been, a supported way to use the Vault project. We aren't
likely to fix bugs relating to failure to import github.com/hashicorp/vault
into your project.
Acceptance Tests
Vault has comprehensive acceptance tests covering most of the features of the secret and auth methods.
If you're working on a feature of a secret or auth method and want to verify it is functioning (and also hasn't broken anything else), we recommend running the acceptance tests.
Warning: The acceptance tests create/destroy/modify real resources, which may incur real costs in some cases. In the presence of a bug, it is technically possible that broken backends could leave dangling data behind. Therefore, please run the acceptance tests at your own risk. At the very least, we recommend running them in their own private account for whatever backend you're testing.
To run the acceptance tests, invoke make testacc:
$ make testacc TEST=./builtin/logical/consul
...
The TEST variable is required, and you should specify the folder where the
backend is. The TESTARGS variable is recommended to filter down to a specific
resource to test, since testing all of them at once can sometimes take a very
long time.
Acceptance tests typically require other environment variables to be set for things such as access keys. The test itself should error early and tell you what to set, so it is not documented here.
For more information on Vault Enterprise features, visit the Vault Enterprise site.