SUSE-SU-2026:0975-1

Vulnerability from csaf_suse - Published: 2026-03-23 16:34 - Updated: 2026-03-23 16:34
Summary
Security update for python-Authlib
Severity
Critical
Notes
Title of the patch: Security update for python-Authlib
Description of the patch: This update for python-Authlib fixes the following issues: - CVE-2026-27962: JWS `deserialize_compact()` allows for signature bypass by accepting user-controlled embedded JWK as verification key (bsc#1259738). - CVE-2026-28490: cryptographic padding oracle in JWE RSA1_5 key management algorithm (bsc#1259736). - CVE-2026-28498: fail-open in behavior OIDC hash validation allows for bypass mandatory integrity protections (bsc#1259737).
Patchnames: SUSE-2026-975,SUSE-SLE-Module-Python3-15-SP7-2026-975,SUSE-SLE-Product-SLES-15-SP6-LTSS-2026-975,SUSE-SLE-Product-SLES_SAP-15-SP6-2026-975,openSUSE-SLE-15.6-2026-975
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-2026-27962
9.1 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
Affected products
Product Identifier Version Remediation
Unresolved product id: SUSE Linux Enterprise Module for Python 3 15 SP7:python311-Authlib-1.3.1-150600.3.17.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 15 SP6-LTSS:python311-Authlib-1.3.1-150600.3.17.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 15 SP6:python311-Authlib-1.3.1-150600.3.17.1.noarch —
Vendor Fix
Unresolved product id: openSUSE Leap 15.6:python311-Authlib-1.3.1-150600.3.17.1.noarch —
Vendor Fix
Threats
Impact critical
CVE-2026-28490
5.9 (Medium)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N
Affected products
Recommended 4 products, the same list as for CVE-2026-27962
Threats
Impact moderate
CVE-2026-28498
9.1 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
Affected products
Recommended 4 products, the same list as for CVE-2026-27962
Threats
Impact critical
References
To clipboard 

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}



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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.