Vulnary
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Critical· 9.1official fix available

CVE-2026-27962

Authlib is a Python library for OAuth and OpenID Connect. A flaw in its JWS implementation lets attackers forge JWT tokens that bypass authentication. The issue is fixed in version 1.6.9.

publishedMar 16, 2026
last modifiedJul 30, 2026
sourcesNVD
severity · cvss
9.1
critical · how bad it is
exploitation · epss
<1%
43th percentile · chance of exploitation in 30 days
(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →
auto-deletes from the system
counting…on Aug 19, 2026

An official fix is available, so this entry is kept for 30 days and then removed automatically.

01

Who is affected

Authlib library, versions prior to 1.6.9, used in Python applications that implement OAuth or OpenID Connect.

02

Real-world impact

An attacker can create a forged token that the server accepts as valid, allowing them to impersonate any user or gain unauthorized access to protected resources.

03

Why this severity

The CVSS score of 9.1 reflects that the vulnerability is exploitable over the network, requires no authentication, and lets an attacker completely bypass authentication and authorization, causing complete compromise of confidentiality and integrity.

04

What to do about it

official fix available
recommended steps
  1. 01Upgrade Authlib to version 1.6.9 or later.

NVD-referenced vendor advisory

05

Timeline

  1. Mar 16, 2026 · Mar 16, 2026
    Published
    Disclosed and added to the National Vulnerability Database.
  2. Jul 20, 2026 · 16d ago
    Official fix available
    A vendor patch or mitigation now exists — see the remediation steps above.
  3. Jul 30, 2026 · 6d ago
    Advisory updated
    The NVD record was last revised.
06

How it’s attacked

Attack vectorNetwork (remote)
Attack complexityLow
Privileges requiredNone
User interactionNone needed
ScopeUnchanged
Confidentiality impactHigh
Integrity impactHigh
Availability impactNone
07

References & advisories

(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →