OPENSUSE-SU-2026:21313-1

Vulnerability from csaf_opensuse - Published: 2026-07-10 11:01 - Updated: 2026-09-17 17:38
Summary
Security update for python-Django
Severity
Moderate
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-2026-48588: Potential exposure of private data via cached Set-Cookie response (bsc#1271029) - CVE-2026-53877: Heap buffer over-read in GDALRaster (bsc#1271030) - CVE-2026-53878: Header injection possibility since DomainNameValidator accepted newlines in input (bsc#1271031)
Patchnames: openSUSE-Leap-16.0-packagehub-406
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
CVE-2026-48588
3.1 (Low)
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:N/A:N
Affected products
Product Identifier Version Remediation
Unresolved product id: openSUSE Leap 16.0:python313-Django-0:5.2.4-bp160.10.1.noarch —
Vendor Fix
Threats
Impact low
CVE-2026-53877
4.8 (Medium)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:L
Affected products
Recommended 1 product, the same list as for CVE-2026-48588
Threats
Impact moderate
CVE-2026-53878
6.1 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
Affected products
Recommended 1 product, the same list as for CVE-2026-48588
Threats
Impact moderate
References
To clipboard 

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        "text": "This update for python-Django fixes the following issues:\n\nChanges in python-Django:\n\n- CVE-2026-48588: Potential exposure of private data via cached\n  Set-Cookie response (bsc#1271029)\n- CVE-2026-53877: Heap buffer over-read in GDALRaster (bsc#1271030)\n- CVE-2026-53878: Header injection possibility since\n  DomainNameValidator accepted newlines in input (bsc#1271031)\n",
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          "text": "An issue was discovered in Django 6.0 before 6.0.7 and 5.2 before 5.2.16.\n`UpdateCacheMiddleware` and the `cache_page()` decorator cache responses that vary on cookies when the incoming request carries unrelated cookies, which allows remote attackers to read private data from the shared cache.\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 Chris Whyland for reporting this issue.",
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          "text": "An issue was discovered in Django 6.0 before 6.0.7 and 5.2 before 5.2.16.\n`django.contrib.gis.gdal.GDALRaster` over-reads its in-memory buffer when constructed from a bytes object, which can disclose adjacent memory or cause service degradation via a potential segmentation fault when the `vsi_buffer` property is accessed.\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 Bence Nagy for reporting this issue.",
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          "category": "general",
          "text": "An issue was discovered in Django 6.0 before 6.0.7 and 5.2 before 5.2.16.\n`DomainNameValidator` does not prohibit newlines in domain names (unless used via a form field, since `CharField` strips newlines). If an application uses values with newlines in an HTTP response, header injection can occur. Django itself is unaffected because `HttpResponse` prohibits newlines in HTTP headers.\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 Bence Nagy for reporting this issue.",
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}



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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.


Detection rules are retrieved from Rulezet.


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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.