FKIE_CVE-2026-61593
Vulnerability from fkie_nvd - Published: 2026-09-16 16:17 - Updated: 2026-09-30 17:51
Severity
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.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "djust",
"vendor": "djust-org",
"versions": [
{
"status": "affected",
"version": "\u003c 1.0.7"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "djust provides Phoenix LiveView-style reactive server-side rendering for Django with Rust-powered performance. Prior to version 1.0.7, the SSE client\u2192server 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\u0027s 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."
}
],
"id": "CVE-2026-61593",
"lastModified": "2026-09-30T17:51:56.193",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-61593",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-16T18:32:11.548072Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-16T16:17:13.943",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/djust-org/djust/releases/tag/v1.0.7"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/djust-org/djust/security/advisories/GHSA-pg97-jvmf-qfvc"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-352"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
Loading…
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.