OPENSUSE-SU-2026:20578-1
Vulnerability from csaf_opensuse - Published: 2026-04-13 13:39 - Updated: 2026-09-17 17:30Summary
Security update for python-Django
Severity
Important
Notes
Title of the patch: Security update for python-Django
Description of the patch: This update for python-Django fixes the following issues:
Changes in python-Django:
- CVE-2026-3902: ASGI header spoofing via underscore/hyphen conflation (bsc#1261729)
- CVE-2026-4277: Privilege abuse in GenericInlineModelAdmin (bsc#1261731)
- CVE-2026-4292: Privilege abuse in ModelAdmin.list_editable (bsc#1261732)
- CVE-2026-33033: Potential denial-of-service vulnerability in
MultiPartParser via base64-encoded file upload (bsc#1261722)
- CVE-2026-33034: Potential denial-of-service vulnerability in
ASGI requests via memory upload limit bypass (bsc#1261724)
Patchnames: openSUSE-Leap-16.0-packagehub-196
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
5.3 (Medium)
Affected products
Recommended
1 product
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Leap 16.0:python313-Django-0:5.2.4-bp160.7.1.noarch | — |
Vendor Fix
|
Threats
Impact
moderate
5.3 (Medium)
Affected products
Recommended
1 product, the same list as for
CVE-2026-33033
Threats
Impact
moderate
5.3 (Medium)
Affected products
Recommended
1 product, the same list as for
CVE-2026-33033
Threats
Impact
moderate
5.4 (Medium)
Affected products
Recommended
1 product, the same list as for
CVE-2026-33033
Threats
Impact
moderate
Affected products
Recommended
1 product, the same list as for
CVE-2026-33033
Threats
Impact
low
References
26 references
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"text": "https://www.suse.com/security/cve/CVE-2026-33033"
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{
"category": "general",
"text": "An issue was discovered in 6.0 before 6.0.4, 5.2 before 5.2.13, and 4.2 before 4.2.30.\n`MultiPartParser` allows remote attackers to degrade performance by submitting multipart uploads with `Content-Transfer-Encoding: base64` including excessive whitespace.\nEarlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected.\nDjango would like to thank Seokchan Yoon for reporting this issue.",
"title": "CVE description"
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"text": "An issue was discovered in 6.0 before 6.0.4, 5.2 before 5.2.13, and 4.2 before 4.2.30.\nASGI requests with a missing or understated `Content-Length` header could\r\nbypass the `DATA_UPLOAD_MAX_MEMORY_SIZE` limit when reading\r\n`HttpRequest.body`, allowing remote attackers to load an unbounded request body into\r\nmemory.\nEarlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected.\nDjango would like to thank Superior for reporting this issue.",
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{
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"date": "2026-04-13T13:39:10Z",
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"notes": [
{
"category": "general",
"text": "An issue was discovered in 6.0 before 6.0.4, 5.2 before 5.2.13, and 4.2 before 4.2.30.\n`ASGIRequest` allows a remote attacker to spoof headers by exploiting an ambiguous mapping of two header variants (with hyphens or with underscores) to a single version with underscores.\nEarlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected.\nDjango would like to thank Tarek Nakkouch for reporting this issue.",
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"notes": [
{
"category": "general",
"text": "An issue was discovered in 6.0 before 6.0.4, 5.2 before 5.2.13, and 4.2 before 4.2.30.\nAdd permissions on inline model instances were not validated on submission of\r\nforged `POST` data in `GenericInlineModelAdmin`.\nEarlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected.\nDjango would like to thank N05ec@LZU-DSLab for reporting this issue.",
"title": "CVE description"
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"version": "3.1"
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"text": "https://www.suse.com/security/cve/CVE-2026-4292"
}
],
"notes": [
{
"category": "general",
"text": "An issue was discovered in 6.0 before 6.0.4, 5.2 before 5.2.13, and 4.2 before 4.2.30.\nAdmin changelist forms using `ModelAdmin.list_editable` incorrectly allowed new\r\ninstances to be created via forged `POST` data.\nEarlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected.\nDjango would like to thank Cantina for reporting this issue.",
"title": "CVE description"
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"url": "https://www.suse.com/security/cve/CVE-2026-4292"
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{
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"scores": [
{
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"baseScore": 2.7,
"baseSeverity": "LOW",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:N",
"version": "3.1"
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"date": "2026-04-13T13:39:10Z",
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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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