Apache APISIX 3.18.0-3.19.0 Auth Bypass via match_uri_encoded_slash
CVE-2026-124723 Published on November 13, 2026

Apache APISIX: unauthorized access to mTLS protected resources
Interpretation Conflict, leading to Incorrect Authorization vulnerability in Apache APISIX. With match_uri_encoded_slash enabled and skip_mtls_uri_regex configured, a client without a certificate can reach an upstream behind a route that requires one, limited to request paths that decode to an exempted URI. This issue affects Apache APISIX: from 3.18.0 through 3.19.0. Users are recommended to upgrade to version 3.20.0, which fixes the issue.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2026-124723 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity and availability.

Exploitation:
NONE
Automatable:
NO
Technical Impact:
PARTIAL
Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE

Weakness Types

Interpretation Conflict

Product A handles inputs or steps differently than Product B, which causes A to perform incorrect actions based on its perception of B's state. This is generally found in proxies, firewalls, anti-virus software, and other intermediary devices that monitor, allow, deny, or modify traffic based on how the client or server is expected to behave.

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-2026-124723 has been classified to as an AuthZ vulnerability or weakness.


Products Associated with CVE-2026-124723

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Affected Versions

Apache Software Foundation Apache APISIX:

Exploit Probability

EPSS
0.26%
Percentile
18.18%

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.