A AegiFlow
CRITICALCVSS 9.1EPSS 0.4%

CVE-2026-61594

CVE-2026-61594 updated by NVD

Published
2026-09-16
Modified
2026-09-19
EPSS percentile
36%
Sources
github-advisory, nvd

Summary

djust provides Phoenix LiveView-style reactive server-side rendering for Django with Rust-powered performance. Prior to version 1.0.7, the live (WebSocket) transport authorizes a mount via `check_view_auth`, not Django's `View.dispatch()` chain. As a result, standard Django authorization — `LoginRequiredMixin`, `PermissionRequiredMixin`, `UserPassesTestMixin`, `@method_decorator(login_required, name="dispatch")`, and custom `dispatch()` guards — and the djust admin extension's staff gate (applied only in the HTTP `as_view` wrapper) were enforced on the initial HTTP GET but silently bypassed over WebSocket, where all events and state flow. An anonymous or under-privileged client could open a WebSocket and mount such a view — including admin list/create/change/delete — and dispatch its handlers. This is fixed in djust 1.0.7. `check_view_auth` now honors the Django `AccessMixin` family on every transport; a new system check S004 fails loud at startup on auth patterns the runtime cannot safely replay (decorator/overridden-`dispatch` forms); and the admin base mixin declares `login_required = True` + an active-staff `check_permissions` gate. As a workaround, gate views using djust's `login_required` / `permission_required` / `check_permissions` attributes (honored on all transports) rather than HTTP-only mixins/decorators.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPIdjust1.0.7

Remediation: Upgrade to 1.0.7 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

CVE® is a registered trademark of The MITRE Corporation. CVE content reproduced under the CVE Terms of Use; copyright designation © MITRE.

EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.