CVE-2026-44182: CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') in jupyter-server enterprise_gateway
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. In versions prior to 3.3.0, 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 types, such as 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. This issue has been fixed in version 3.3.0.
AI Analysis
Technical Summary
CVE-2026-44182 describes a critical YAML injection vulnerability in jupyter-server's enterprise_gateway component. In versions before 3.3.0, untrusted environment variables (e.g., KERNEL_XXX) are interpolated into Kubernetes manifests without YAML-aware escaping. This enables attackers to inject new YAML fields, overwrite existing ones (such as securityContext keys), and insert document boundaries to create multiple Kubernetes resources, potentially including privileged pods. The vulnerability stems from the use of Jinja2 templates that incorporate kernel-related environment variables without proper sanitization. The vulnerability is fixed in version 3.3.0.
Potential Impact
Successful exploitation allows an unauthenticated attacker to perform YAML injection via environment variables, leading to the creation or modification of Kubernetes resources. This can result in privilege escalation by creating privileged pods or altering security contexts, severely compromising cluster security. The CVSS 4.0 score of 10 reflects the critical nature and ease of exploitation without user interaction or privileges.
Mitigation Recommendations
Upgrade to jupyter-server enterprise_gateway version 3.3.0 or later, where this YAML injection vulnerability is fixed. Since no official patch link or advisory is provided, verify the upgrade path with the vendor's official releases. Until upgraded, avoid using untrusted environment variables in Kubernetes manifest templates or apply manual YAML escaping if feasible. Patch status is not explicitly confirmed in the advisory data, so check the vendor advisory for current remediation guidance.
CVE-2026-44182: CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') in jupyter-server enterprise_gateway
Description
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. In versions prior to 3.3.0, 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 types, such as 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. This issue has been fixed in version 3.3.0.
CVSS v4.0
Score 10.0critical
Affected software
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-44182 describes a critical YAML injection vulnerability in jupyter-server's enterprise_gateway component. In versions before 3.3.0, untrusted environment variables (e.g., KERNEL_XXX) are interpolated into Kubernetes manifests without YAML-aware escaping. This enables attackers to inject new YAML fields, overwrite existing ones (such as securityContext keys), and insert document boundaries to create multiple Kubernetes resources, potentially including privileged pods. The vulnerability stems from the use of Jinja2 templates that incorporate kernel-related environment variables without proper sanitization. The vulnerability is fixed in version 3.3.0.
Potential Impact
Successful exploitation allows an unauthenticated attacker to perform YAML injection via environment variables, leading to the creation or modification of Kubernetes resources. This can result in privilege escalation by creating privileged pods or altering security contexts, severely compromising cluster security. The CVSS 4.0 score of 10 reflects the critical nature and ease of exploitation without user interaction or privileges.
Mitigation Recommendations
Upgrade to jupyter-server enterprise_gateway version 3.3.0 or later, where this YAML injection vulnerability is fixed. Since no official patch link or advisory is provided, verify the upgrade path with the vendor's official releases. Until upgraded, avoid using untrusted environment variables in Kubernetes manifest templates or apply manual YAML escaping if feasible. Patch status is not explicitly confirmed in the advisory data, so check the vendor advisory for current remediation guidance.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-05-05T14:39:34.924Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a595c2d68715ace43d0b03d
Added to database: 07/16/2026, 22:33:17 UTC
Last enriched: 07/16/2026, 22:47:28 UTC
Last updated: 08/30/2026, 10:52:09 UTC
Views: 132
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