Vulnerability-Lookup

SUSE-SU-2025:0149-1

Vulnerability from csaf_suse - Published: 2025-01-16 17:03 - Updated: 2025-01-16 17:03

Summary

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: - CVE-2024-56374: Fixed lack of upper bound limit enforcement in strings when performing IPv6 validation that could lead to denial of service (bsc#1235856)

Patchnames: SUSE-2025-149,SUSE-SLE-Module-Packagehub-Subpackages-15-SP6-2025-149,openSUSE-SLE-15.6-2025-149

CVE-2024-56374

7.5 (High)


                
                  CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Affected products

Recommended 2 products

Product	Identifier	Version	Remediation
Unresolved product id: SUSE Linux Enterprise Module for Package Hub 15 SP6:python311-Django-4.2.11-150600.3.15.1.noarch		—	Vendor Fix
Unresolved product id: openSUSE Leap 15.6:python311-Django-4.2.11-150600.3.15.1.noarch		—	Vendor Fix

Threats

Impact important

References

8 references

URL	Category
https://www.suse.com/support/security/rating/	external
https://ftp.suse.com/pub/projects/security/csaf/s…	self
https://www.suse.com/support/update/announcement/…	self
https://lists.suse.com/pipermail/sle-security-upd…	self
https://bugzilla.suse.com/1235856	self
https://www.suse.com/security/cve/CVE-2024-56374/	self
https://www.suse.com/security/cve/CVE-2024-56374	external
https://bugzilla.suse.com/1235856	external

JSON

To clipboard

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CVE-2024-56374 (GCVE-0-2024-56374)

Vulnerability from cvelistv5 – Published: 2025-01-14 00:00 – Updated: 2025-02-12 20:31

Summary

An issue was discovered in Django 5.1 before 5.1.5, 5.0 before 5.0.11, and 4.2 before 4.2.18. Lack of upper-bound limit enforcement in strings passed when performing IPv6 validation could lead to a potential denial-of-service attack. The undocumented and private functions clean_ipv6_address and is_valid_ipv6_address are vulnerable, as is the django.forms.GenericIPAddressField form field. (The django.db.models.GenericIPAddressField model field is not affected.)

Severity

5.8 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:L

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-01-15 19:40 UTC

CWE

CWE-770 - Allocation of Resources Without Limits or Throttling

Assigner

mitre mitre root

References

5 references

URL	Tags
https://docs.djangoproject.com/en/dev/releases/se…
https://groups.google.com/g/django-announce
https://www.djangoproject.com/weblog/2025/jan/14/…
http://www.openwall.com/lists/oss-security/2025/01/14/2
https://lists.debian.org/debian-lts-announce/2025…

Impacted products

1 product

Vendor	Product	Version
djangoproject	Django	Affected: 4.2 , < 4.2.18 (custom) Affected: 5.0 , < 5.0.11 (custom) Affected: 5.1 , < 5.1.5 (custom) cpe:2.3:a:djangoproject:django:::::::: cpe:2.3:a:djangoproject:django:::::::: cpe:2.3:a:djangoproject:django::::::::

Show details on NVD website

JSON

To clipboard

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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.

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.

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.