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Vulnerability Database/CVE-2026-16214

CVE-2026-16214: Django-Jet Auth Bypass Vulnerability

CVE-2026-16214 is an authorization bypass flaw in geex-arts django-jet up to version 1.0.8 affecting the Dashboard Module. This vulnerability allows remote attackers to bypass authentication. This post covers technical details, affected versions, impact, and mitigation strategies.

Published:

CVE-2026-16214 Overview

CVE-2026-16214 is an authorization bypass vulnerability in the geex-arts django-jet project up to version 1.0.8. The flaw resides in an unspecified function within jet/dashboard/views.py, part of the Dashboard Module. An authenticated remote attacker can manipulate the affected function to bypass authorization checks and access resources beyond their privilege level. The exploit has been publicly disclosed, and the maintainers were notified through a GitHub issue but have not responded. This weakness is classified under CWE-285: Improper Authorization.

Critical Impact

Authenticated attackers can bypass authorization controls in the django-jet Dashboard Module remotely, gaining unauthorized access to dashboard functionality with a public exploit available and no vendor patch.

Affected Products

  • geex-arts django-jet versions up to and including 1.0.8
  • Django applications integrating the django-jet Dashboard Module
  • Deployments using the vulnerable jet/dashboard/views.py component

Discovery Timeline

  • 2026-07-19 - CVE-2026-16214 published to NVD
  • 2026-07-22 - Last updated in NVD database

Technical Details for CVE-2026-16214

Vulnerability Analysis

The vulnerability is an authorization bypass in the Dashboard Module of django-jet, a third-party Django admin interface. An unknown function in jet/dashboard/views.py fails to enforce proper authorization checks before performing privileged operations. Because Django views typically expose HTTP-accessible endpoints, the flaw is reachable over the network by any actor who can reach the application. The impact is limited to low confidentiality, integrity, and availability effects on the affected component, consistent with unauthorized access to specific dashboard actions rather than full application compromise. Public disclosure has occurred through VulDB and a corresponding GitHub issue, but the project maintainers have not published a fix as of the last NVD update.

Root Cause

The root cause is improper authorization ([CWE-285]) in a view function within the Dashboard Module. The view does not verify whether the requesting user has the required permission to perform the target action. Instead, it relies on authentication alone or on client-controlled input to determine access, allowing lower-privileged users to invoke functionality reserved for administrators.

Attack Vector

Exploitation requires network access to the affected Django application and low-privilege credentials. An attacker sends a crafted HTTP request to the vulnerable endpoint in jet/dashboard/views.py to invoke functionality without the corresponding authorization. The attack requires no user interaction and no elevated privileges. See the GitHub Issue #528 and VulDB entry for CVE-2026-16214 for public technical details.

No verified proof-of-concept code has been published to a curated exploit repository. Refer to the linked references for exploitation specifics.

Detection Methods for CVE-2026-16214

Indicators of Compromise

  • Unexpected HTTP requests to dashboard endpoints served by jet/dashboard/views.py from low-privilege user sessions.
  • Django audit logs showing dashboard modifications, module additions, or configuration changes performed by non-administrative accounts.
  • Anomalous session activity where standard users access administrative dashboard URLs under the /jet/ path prefix.

Detection Strategies

  • Enable Django request logging and correlate authenticated user roles against accessed dashboard URLs to identify authorization anomalies.
  • Deploy a web application firewall (WAF) rule to inspect requests targeting django-jet dashboard routes and flag access by non-staff users.
  • Review application-level access logs for HTTP 200 responses on dashboard endpoints where an HTTP 403 would be expected for the requesting principal.

Monitoring Recommendations

  • Alert on dashboard configuration changes performed outside of change-management windows or by unexpected accounts.
  • Baseline normal django-jet endpoint access patterns per user role and generate alerts on deviations.
  • Forward Django application logs to a centralized SIEM or data lake to enable retrospective hunting for authorization bypass attempts.

How to Mitigate CVE-2026-16214

Immediate Actions Required

  • Inventory all Django deployments and identify any using django-jet at version 1.0.8 or earlier.
  • Restrict network exposure of Django admin and django-jet dashboard routes to trusted internal networks or VPN users only.
  • Audit existing user accounts and remove any unnecessary access to applications running django-jet.
  • Review dashboard configurations and revoke any changes made by non-administrative accounts since deployment.

Patch Information

No official patch has been released by the geex-arts django-jet maintainers. The project was notified through GitHub Issue #528 but has not responded. Monitor the django-jet GitHub repository for updates. Consider evaluating maintained forks or alternative Django admin theming projects that receive active security support.

Workarounds

  • Add a custom Django middleware or view decorator that enforces is_staff or explicit permission checks on all jet/dashboard/ URLs before requests reach the vulnerable view.
  • Restrict dashboard URL patterns in the project's urls.py so that only administrative users can resolve them, using login_required and user_passes_test decorators.
  • Place the application behind a reverse proxy or WAF that enforces IP allowlisting on /jet/dashboard/ paths.
  • If the Dashboard Module is not required, disable it by removing jet.dashboard from INSTALLED_APPS and excluding its URL routes.

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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