OpenMQ Config Parsing Flaw Enables Remote File Read & RCE
CVE-2026-24457 Published on March 5, 2026

An unsafe parsing of OpenMQ's configuration in OpenMQ versions <6.5.2 and <6.9.0, allows a remote attacker to read arbitrary files from a MQ Broker's server. A full exploitation could read unauthorized files of the OpenMQs host OS. In some scenarios RCE could be achieved. This is fixed in OpenMQ 6.5.2, 6.9.0, and in GlassFish 7.0.26, 7.1.1, and 8.0.2.

NVD

Vulnerability Analysis

CVE-2026-24457 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 a high impact on confidentiality, with no impact on integrity, and a high impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
NONE
Availability Impact:
HIGH

Weakness Types

What is a Directory traversal Vulnerability?

The software uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the software does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

CVE-2026-24457 has been classified to as a Directory traversal vulnerability or weakness.

Path Traversal: 'dir/../../filename'

The software uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize multiple internal "../" sequences that can resolve to a location that is outside of that directory.


Products Associated with CVE-2026-24457

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Affected Versions

Eclipse Foundation Eclipse OpenMQ: Eclipse Foundation Eclipse GlassFish:

Exploit Probability

EPSS
0.62%
Percentile
45.88%

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.