Red Hat Quay SQL LIKE Wildcard Injection Leads to CrossTenant Token Leak
CVE-2026-110697 Published on November 11, 2026

Quay: quay: sql like wildcard injection in robot listing leaks cross-tenant robot tokens
A flaw was found in Quay where the robot account listing function constructs a SQL LIKE pattern from user-controlled namespace names without escaping wildcard metacharacters. An attacker who creates a namespace containing an underscore character can match and retrieve robot accounts and their decrypted authentication tokens from other tenants' namespaces, leading to cross-tenant credential theft and unauthorized image operations.

NVD

Vulnerability Analysis

CVE-2026-110697 can be exploited with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be critical as this vulnerability has a high impact to the confidentiality, integrity and availability of this component.

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

Timeline

Reported to Red Hat.

Made public. 28 days later.

Weakness Type

What is a SQL Injection Vulnerability?

The software constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component.

CVE-2026-110697 has been classified to as a SQL Injection vulnerability or weakness.


Products Associated with CVE-2026-110697

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Affected Versions

Red Hat OpenShift Update Service: Red Hat Quay 3: Red Hat Quay 3: Red Hat Quay 5:

Exploit Probability

EPSS
0.50%
Percentile
43.12%

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.