CVE-2026-61593 (GCVE-0-2026-61593)
Vulnerability from cvelistv5 – Published: 2026-09-16 15:46 – Updated: 2026-09-16 18:32
VLAI
EPSS
VEX
Title
djust has Cross-Site Request Forgery on the Server-Sent-Events transport: a cross-origin page can drive a victim-authenticated SSE session
Summary
djust provides Phoenix LiveView-style reactive server-side rendering for Django with Rust-powered performance. Prior to version 1.0.7, the SSE client→server POST endpoints are `@csrf_exempt` and the SSE GET stream endpoint had no Origin check, so a cross-origin page could drive a victim-cookie-authenticated SSE session: force the victim's browser to GET the stream URL (which creates and mounts a LiveView as the victim) and POST to the message endpoint with `credentials: include` to fire state-changing event handlers as the victim. The URL `session_id` is client-chosen (validated only for UUID *format*), so it is not a CSRF token, and a JSON body sent as `text/plain` is a CORS simple request with no preflight. The issue is fixed in 1.0.7. All three SSE endpoints validate the request `Origin` against `ALLOWED_HOSTS` (mirroring the WebSocket CSWSH defense) and reject cross-origin requests with 403; the POST endpoints additionally require `Content-Type: application/json` (415 otherwise), closing the `text/plain` simple-request bypass. As a workaround, disable the SSE transport, or front it with a proxy that enforces an Origin allowlist.
Severity
8.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-16 18:32 UTC
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/djust-org/djust/security/advis… | x_refsource_CONFIRM |
| https://github.com/djust-org/djust/releases/tag/v1.0.7 | x_refsource_MISC |
Impacted products
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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