- pull construction of authenticators.Response into searchAndBindUser
- remove information about the identity provider in the error that gets
returned to users. Put it in debug instead, where it may show up in
logs.
Signed-off-by: Margo Crawford <margaretc@vmware.com>
- changed to use custom authenticators.Response rather than the k8s one
that doesn't include space for a DN
- Added more checking for correct idp type in token handler
- small style changes
Signed-off-by: Margo Crawford <margaretc@vmware.com>
This stores the user DN in the session data upon login and checks that
the entry still exists upon refresh. It doesn't check anything
else about the entry yet.
Otherwise, the CA and proxy settings will not be used for the call
to the upstream token endpoint while performing the refresh. This
mistake was exposed by the TestSupervisorLogin integration test, so
it has test coverage.
- If the upstream refresh fails, then fail the downstream refresh
- If the upstream refresh returns an ID token, then validate it (we
use its claims in the future, but not in this commit)
- If the upstream refresh returns a new refresh token, then save it
into the user's session in storage
- Pass the provider cache into the token handler so it can use the
cached providers to perform upstream refreshes
- Handle unexpected errors in the token handler where the user's session
does not contain the expected data. These should not be possible
in practice unless someone is manually editing the storage, but
handle them anyway just to be safe.
- Refactor to share the refresh code between the CLI and the token
endpoint by moving it into the UpstreamOIDCIdentityProviderI
interface, since the token endpoint needed it to be part of that
interface anyway
- Requiring refresh tokens to be returned from upstream OIDC idps
- Storing refresh tokens (for oidc) and idp information (for all idps) in custom session data during authentication
- Don't pass access=offline all the time
- throw an error when prompt=none because the spec says we can't ignore
it
- ignore the other prompt params
Signed-off-by: Ryan Richard <richardry@vmware.com>
This will allow us to store custom data inside the fosite session
storage for all downstream OIDC sessions.
Signed-off-by: Margo Crawford <margaretc@vmware.com>
This change fixes a copy paste error that led to the impersonation
proxy signer CA being rotated based on the configuration of the
rotation of the aggregated API serving certificate. This would lead
to occasional "Unauthorized" flakes in our CI environments that
rotate the serving certificate at a frequent interval.
Updated the certs_expirer controller logs to be more detailed.
Updated CA common names to be more specific (this does not update
any previously generated CAs).
Signed-off-by: Monis Khan <mok@vmware.com>
At debug level:
upstreamoidc.go:213] "claims from ID token and userinfo"
providerName="oidc"
keys=[at_hash aud email email_verified exp iat iss sub]
At all level:
upstreamoidc.go:207] "claims from ID token and userinfo"
providerName="oidc"
claims="{\"at_hash\":\"C55S-BgnHTmr2_TNf...hYmVhYWESBWxvY2Fs\"}"
Signed-off-by: Monis Khan <mok@vmware.com>
This change updates the kube cert agent to a middle ground behavior
that balances leader election gating with how quickly we load the
signer.
If the agent labels have not changed, we will attempt to load the
signer even if we cannot roll out the latest version of the kube
cert agent deployment.
This gives us the best behavior - we do not have controllers
fighting over the state of the deployment and we still get the
signer loaded quickly.
We will have a minute of downtime when the kube cert agent deployment
changes because the new pods will have to wait to become a leader
and for the new deployment to rollout the new pods. We would need
to have a per pod deployment if we want to avoid that downtime (but
this would come at the cost of startup time and would require
coordination with the kubelet in regards to pod readiness).
Signed-off-by: Monis Khan <mok@vmware.com>
This change updates our certificate code to use the same 5 minute
backdate that is used by the Kubernetes controller manager. This
helps to account for clock skews between the API servers and the
kubelets that are running the pinniped pods. While this backdating
reflects a large percentage of the lifetime of our short lived
certificates (100% for the 5 minute client certificates), even a 10
minute irrevocable client certificate is within our limits. When
we move to the CSR based short lived certificates, they will always
have at least a 15 minute lifetime (5 minute backdating plus 10 minute
minimum valid duration).
Signed-off-by: Monis Khan <mok@vmware.com>
CertificatesV1beta1 was removed in Kube 1.22, so the tests cannot
blindly rely on it anymore. Use CertificatesV1 whenever the server
reports that is available, and otherwise use the old
CertificatesV1beta1.
Note that CertificatesV1 was introduced in Kube 1.19.
This commit makes the following changes to the kube cert agent tests:
1. Informers are synced on start using the controllerinit code
2. Deployment client and informer are synced per controller sync loop
3. Controller sync loop exits after two consistent errors
4. Use assert instead of require to avoid ending the test early
Signed-off-by: Monis Khan <mok@vmware.com>
Not required, but within the spirit of using the version number.
Since the existing kube cert agent deployment will get deleted anyway
during an upgrade, it shouldn't hurt to change the version number.
New installations will get the new version number on the new kube cert
agent deployment.
Fixes#801. The solution is complicated by the fact that the Selector
field of Deployments is immutable. It would have been easy to just
make the Selectors of the main Concierge Deployment, the Kube cert agent
Deployment, and the various Services use more specific labels, but
that would break upgrades. Instead, we make the Pod template labels and
the Service selectors more specific, because those not immutable, and
then handle the Deployment selectors in a special way.
For the main Concierge and Supervisor Deployments, we cannot change
their selectors, so they remain "app: app_name", and we make other
changes to ensure that only the intended pods are selected. We keep the
original "app" label on those pods and remove the "app" label from the
pods of the Kube cert agent Deployment. By removing it from the Kube
cert agent pods, there is no longer any chance that they will
accidentally get selected by the main Concierge Deployment.
For the Kube cert agent Deployment, we can change the immutable selector
by deleting and recreating the Deployment. The new selector uses only
the unique label that has always been applied to the pods of that
deployment. Upon recreation, these pods no longer have the "app" label,
so they will not be selected by the main Concierge Deployment's
selector.
The selector of all Services have been updated to use new labels to
more specifically target the intended pods. For the Concierge Services,
this will prevent them from accidentally including the Kube cert agent
pods. For the Supervisor Services, we follow the same convention just
to be consistent and to help future-proof the Supervisor app in case it
ever has a second Deployment added to it.
The selector of the auto-created impersonation proxy Service was
also previously using the "app" label. There is no change to this
Service because that label will now select the correct pods, since
the Kube cert agent pods no longer have that label. It would be possible
to update that selector to use the new more specific label, but then we
would need to invent a way to pass that label into the controller, so
it seemed like more work than was justified.
Changes made to both components:
1. Logs are always flushed on process exit
2. Informer cache sync can no longer hang process start up forever
Changes made to concierge:
1. Add pre-shutdown hook that waits for controllers to exit cleanly
2. Informer caches are synced in post-start hook
Changes made to supervisor:
1. Add shutdown code that waits for controllers to exit cleanly
2. Add shutdown code that waits for active connections to become idle
Waiting for controllers to exit cleanly is critical as this allows
the leader election logic to release the lock on exit. This reduces
the time needed for the next leader to be elected.
Signed-off-by: Monis Khan <mok@vmware.com>
The kubelet will send the SIGTERM signal when it wants a process to
exit. After a grace period, it will send the SIGKILL signal to
force the process to terminate. The concierge has always handled
both SIGINT and SIGTERM as indicators for it to gracefully exit
(i.e. stop watches, controllers, etc). This change updates the
supervisor to do the same (previously it only handled SIGINT). This
is required to allow the leader election lock release logic to run.
Otherwise it can take a few minutes for new pods to acquire the
lease since they believe it is already held.
Signed-off-by: Monis Khan <mok@vmware.com>
For clusters where the control plane nodes aren't running a CNI, the
kube-cert-agent pods deployed by concierge cannot be scheduled as they
don't know to use `hostNetwork: true`. This change allows embedding the
host network setting in the Concierge configuration. (by copying it from
the kube-controller-manager pod spec when generating the kube-cert-agent
Deployment)
Also fixed a stray double comma in one of the nearby tests.
OpenShift has good defaults for these duration fields that we can
use instead of coming up with them ourselves:
e14e06ba8d/pkg/config/leaderelection/leaderelection.go (L87-L109)
Copied here for easy future reference:
// We want to be able to tolerate 60s of kube-apiserver disruption without causing pod restarts.
// We want the graceful lease re-acquisition fairly quick to avoid waits on new deployments and other rollouts.
// We want a single set of guidance for nearly every lease in openshift. If you're special, we'll let you know.
// 1. clock skew tolerance is leaseDuration-renewDeadline == 30s
// 2. kube-apiserver downtime tolerance is == 78s
// lastRetry=floor(renewDeadline/retryPeriod)*retryPeriod == 104
// downtimeTolerance = lastRetry-retryPeriod == 78s
// 3. worst non-graceful lease acquisition is leaseDuration+retryPeriod == 163s
// 4. worst graceful lease acquisition is retryPeriod == 26s
if ret.LeaseDuration.Duration == 0 {
ret.LeaseDuration.Duration = 137 * time.Second
}
if ret.RenewDeadline.Duration == 0 {
// this gives 107/26=4 retries and allows for 137-107=30 seconds of clock skew
// if the kube-apiserver is unavailable for 60s starting just before t=26 (the first renew),
// then we will retry on 26s intervals until t=104 (kube-apiserver came back up at 86), and there will
// be 33 seconds of extra time before the lease is lost.
ret.RenewDeadline.Duration = 107 * time.Second
}
if ret.RetryPeriod.Duration == 0 {
ret.RetryPeriod.Duration = 26 * time.Second
}
Signed-off-by: Monis Khan <mok@vmware.com>
This change fixes a small race condition that occurred when the
current leader failed to renew its lease. Before this change, the
leader would first release the lease via the Kube API and then would
update its in-memory status to reflect that change. Now those
events occur in the reverse (i.e. correct) order.
Signed-off-by: Monis Khan <mok@vmware.com>
