GHSA-QC6P-HVPV-4F8H
Vulnerability from github – Published: 2026-08-05 12:31 – Updated: 2026-08-05 12:31
VLAI
Details
DjangoCRM ships with its Django SECRET_KEY hardcoded directly in the committed webcrm/settings.py rather than read from an environment variable. Since this key is used for session signing, CSRF token generation, and password reset tokens, anyone who reads the public repository can forge valid session cookies (including for the superadmin account), forge CSRF tokens, and forge password reset tokens, achieving full account takeover. The repository also ships with DEBUG=True as the default, causing error pages to leak database credentials, email credentials, OAuth data, and internal file paths.
Severity
9.1 (Critical)
{
"affected": [],
"aliases": [
"CVE-2026-71238"
],
"database_specific": {
"cwe_ids": [
"CWE-798"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-05T11:16:26Z",
"severity": "CRITICAL"
},
"details": "DjangoCRM ships with its Django SECRET_KEY hardcoded directly in the committed webcrm/settings.py rather than read from an environment variable. Since this key is used for session signing, CSRF token generation, and password reset tokens, anyone who reads the public repository can forge valid session cookies (including for the superadmin account), forge CSRF tokens, and forge password reset tokens, achieving full account takeover. The repository also ships with DEBUG=True as the default, causing error pages to leak database credentials, email credentials, OAuth data, and internal file paths.",
"id": "GHSA-qc6p-hvpv-4f8h",
"modified": "2026-08-05T12:31:32Z",
"published": "2026-08-05T12:31:32Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-71238"
},
{
"type": "WEB",
"url": "https://github.com/DjangoCRM/django-crm"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
"type": "CVSS_V3"
}
]
}
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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.
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