CVE-2026-44180 in enterprise_gatewayinfo

Summary

by MITRE • 07/17/2026

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.

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Analysis

by VulDB Data Team • 07/17/2026

The Jupyter Enterprise Gateway serves as a critical component for managing distributed computing environments by enabling remote kernel execution across various cluster technologies including Apache Spark, Kubernetes, and Docker Swarm. This system was designed with security considerations in mind through its default configuration that prohibits kernel launches with UID or GID values of 0, effectively preventing root-level execution to minimize potential attack surface exposure. The vulnerability stems from an insufficient input validation mechanism within the KERNEL_UID and KERNEL_GID parameter handling, where attackers can craft specially formatted values that bypass the intended restrictions. This flaw represents a direct violation of security principles outlined in CWE-20, which addresses improper input validation vulnerabilities that can lead to privilege escalation and unauthorized system access.

The technical implementation of this vulnerability allows for arbitrary UID/GID specification through environment variables, creating a path for privilege escalation attacks where malicious actors can effectively run Jupyter kernels with root privileges despite the intended security restrictions. When combined with the ability to specify volume mounts in container configurations, this vulnerability becomes particularly dangerous as it enables container escape techniques that can compromise entire worker nodes and their underlying workloads. The operational impact extends beyond individual kernel execution to threaten complete cluster integrity, as successful exploitation can lead to persistent access across all worker nodes within a Kubernetes environment. Attackers leveraging this vulnerability could establish footholds that persist through system reboots by creating malicious crontab entries within hostPath volume mounts, effectively maintaining control over the underlying infrastructure.

The security implications of this vulnerability align with ATT&CK technique T1068, which covers 'Local Port Forwarding' and privilege escalation methods, while also manifesting as a container escape scenario that maps to ATT&CK technique T1611 for 'Escape to Host'. The bypass mechanism operates through the manipulation of environment variables that should be validated against known safe ranges, creating an attack vector where legitimate system administrators might inadvertently permit dangerous configurations. Organizations running Jupyter Enterprise Gateway in production environments face significant risk from this vulnerability as it allows attackers to gain root-level access to worker nodes and potentially compromise all containerized workloads within the cluster. The remediation approach requires immediate patching to version 3.0.0 or later, which implements proper input validation for UID/GID parameters that prevents bypass attempts while maintaining legitimate functionality for authorized users who require non-root kernel execution capabilities.

This vulnerability demonstrates the critical importance of input validation in distributed systems where security controls rely on parameter sanitization, as outlined in OWASP Top 10 categories related to injection flaws and privilege escalation. The flaw serves as a prime example of how seemingly minor configuration restrictions can become significant attack vectors when proper validation mechanisms are absent or insufficiently implemented. Organizations should conduct comprehensive security audits of their distributed computing environments to identify similar input validation weaknesses that could enable privilege escalation attacks, particularly in systems where container orchestration platforms such as Kubernetes are utilized for managing compute resources and where persistent access to worker nodes represents a critical security concern.

Responsible

GitHub M

Reservation

05/05/2026

Disclosure

07/17/2026

Moderation

accepted

CPE

ready

EPSS

0.00000

KEV

no

Activities

low

Sources

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