CVE-2026-97764
3.7 LOWPublished 2026-09-25 · Updated 2026-09-25
AI analysis for this CVE has not been generated yet. Raw NVD data is shown below.
NVD description
django-allauth before 65.19.4 does not have the expected limits on failed login attempts because, in some common configurations, an attacker can leverage the handling of diacritics (e.g., accents) for a higher effective limit.
CVSS vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N
Weaknesses
CWE-180
All references
- https://codeberg.org/allauth/django-allauth/commit/4379e7931fe7572aacc4f3b4b5f2298d5f3ecc96
- https://codeberg.org/allauth/django-allauth/commit/4e252aa2be7cef5d72d78049d6fb07cb27a89c83
- https://codeberg.org/allauth/django-allauth/commit/ae472772c8f93bcb972205c9d7159051cf6f413a
- https://docs.allauth.org/en/latest/release-notes/recent.html
- https://pypi.org/project/django-allauth/
Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.
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