CVE-2026-44180: CWE-20: Improper Input Validation in jupyter-server enterprise_gateway
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.
AI Analysis
Technical Summary
Jupyter Enterprise Gateway, which manages remote Jupyter Notebook kernels on distributed clusters, has an improper input validation vulnerability (CWE-20) in versions 2.0.0rc1 and later but before 3.3.0. The product includes a feature that prohibits launching kernels with UID or GID 0 (root) by default. However, this restriction can be bypassed by supplying specially crafted KERNEL_UID or KERNEL_GID values, allowing kernels to run as root. This elevated privilege can lead to container escapes, for example by leveraging writable hostPath volume mounts to create crontab entries on the host, thereby compromising the underlying worker node and potentially the entire Kubernetes cluster. The issue is resolved starting from version 3.0.0.
Potential Impact
Exploitation of this vulnerability allows attackers to run Jupyter kernels as root, significantly increasing the attack surface. This can lead to container escapes and full compromise of the worker node hosting the kernel. Since worker nodes are part of distributed clusters like Kubernetes, repeated exploitation can compromise all worker nodes and the entire cluster, resulting in complete loss of confidentiality, integrity, and availability of workloads running on the cluster.
Mitigation Recommendations
A fix is available in Jupyter Enterprise Gateway version 3.0.0. Users should upgrade to version 3.0.0 or later to remediate this vulnerability. No other official remediation or temporary fixes are indicated. Until upgrading, avoid configurations that allow setting KERNEL_UID or KERNEL_GID to bypass restrictions, and restrict use of writable hostPath volume mounts to minimize container escape vectors.
CVE-2026-44180: CWE-20: Improper Input Validation in jupyter-server enterprise_gateway
Description
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.
CVSS v3.1
Score 9.8critical
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
Jupyter Enterprise Gateway, which manages remote Jupyter Notebook kernels on distributed clusters, has an improper input validation vulnerability (CWE-20) in versions 2.0.0rc1 and later but before 3.3.0. The product includes a feature that prohibits launching kernels with UID or GID 0 (root) by default. However, this restriction can be bypassed by supplying specially crafted KERNEL_UID or KERNEL_GID values, allowing kernels to run as root. This elevated privilege can lead to container escapes, for example by leveraging writable hostPath volume mounts to create crontab entries on the host, thereby compromising the underlying worker node and potentially the entire Kubernetes cluster. The issue is resolved starting from version 3.0.0.
Potential Impact
Exploitation of this vulnerability allows attackers to run Jupyter kernels as root, significantly increasing the attack surface. This can lead to container escapes and full compromise of the worker node hosting the kernel. Since worker nodes are part of distributed clusters like Kubernetes, repeated exploitation can compromise all worker nodes and the entire cluster, resulting in complete loss of confidentiality, integrity, and availability of workloads running on the cluster.
Mitigation Recommendations
A fix is available in Jupyter Enterprise Gateway version 3.0.0. Users should upgrade to version 3.0.0 or later to remediate this vulnerability. No other official remediation or temporary fixes are indicated. Until upgrading, avoid configurations that allow setting KERNEL_UID or KERNEL_GID to bypass restrictions, and restrict use of writable hostPath volume mounts to minimize container escape vectors.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-05-05T14:39:34.924Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a59dfe668715ace439a8d3d
Added to database: 07/17/2026, 07:55:18 UTC
Last enriched: 07/17/2026, 07:56:17 UTC
Last updated: 08/31/2026, 10:52:09 UTC
Views: 69
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