Kroxylicious ACL Authorizer Regex Escaping Bypass
CVE-2026-128424 Published on November 13, 2026

Kroxylicious-authorizer-acl: kroxylicious: acl rule file regex escapes are stripped, broadening 'matching' authorization rules
A flaw was found in Kroxylicious. The ACL authorizer's rules-file parser unquotes `matching //` regular-expression literals using the string unquoting rules, which strips every backslash escape. As a result, an allow rule such as `matching /orders\.v1/` is compiled as the regex `orders.v1`, which also matches unintended names such as `ordersXv1`, and character classes such as `\d` and `\w` lose their special meaning. Allow rules written with regex escapes can therefore apply to more resources than the author intended. Depending on the ACL configuration, this may allow an authenticated Kafka client to access a resource (such as read or write a topic) that should have been denied.

NVD

Vulnerability Analysis

CVE-2026-128424 is exploitable with network access, and requires small amount of user privileges. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.

Exploitation:
NONE
Automatable:
NO
Technical Impact:
PARTIAL
Attack Vector:
NETWORK
Attack Complexity:
HIGH
Privileges Required:
LOW
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
NONE
Availability Impact:
NONE

Timeline

Reported to Red Hat.

Made public.

Weakness Type

What is an AuthZ Vulnerability?

The software performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.

CVE-2026-128424 has been classified to as an AuthZ vulnerability or weakness.


Products Associated with CVE-2026-128424

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Red Hat Amq Streams

Affected Versions

Red Hat streams for Apache Kafka 3:

Exploit Probability

EPSS
0.30%
Percentile
22.52%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.