RHSA-2022:2232 - Security Advisory
Moderate: Red Hat Data Grid 8.3.1 security update
Security Advisory: Moderate
An update for Red Hat Data Grid is now available.
Red Hat Product Security has rated this update as having a security impact of Moderate. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.
Red Hat Data Grid is an in-memory, distributed, NoSQL datastore solution. It increases application response times and allows for dramatically improving performance while providing availability, reliability, and elastic scale.
Data Grid 8.3.1 replaces Data Grid 8.3.0 and includes bug fixes and enhancements. Find out more about Data Grid 8.3.1 in the Release Notes.
- jackson-databind: denial of service via a large depth of nested objects [jdg-8] (CVE-2020-36518)
- kafka-clients: Kafka: Timing Attack Vulnerability for Apache Kafka Connect and Clients [jdg-8] (CVE-2021-38153)
- xnio: org.xnio.StreamConnection.notifyReadClosed log to debug instead of stderr [jdg-8] (CVE-2022-0084)
For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.
To install this update, do the following:
1. Download the Data Grid 8.3.1 Server patch from the customer portal[²].
2. Back up your existing Data Grid installation. You should back up databases, configuration files, and so on.
3. Install the Data Grid 8.3.1 Server patch.
4. Restart Data Grid to ensure the changes take effect.
For more information about Data Grid 8.3.1, refer to the 8.3.1 Release Notes[³]
- Red Hat JBoss Data Grid Text-Only Advisories x86_64
- BZ - 2009041 - CVE-2021-38153 Kafka: Timing Attack Vulnerability for Apache Kafka Connect and Clients
- BZ - 2064226 - CVE-2022-0084 xnio: org.xnio.StreamConnection.notifyReadClosed log to debug instead of stderr
- BZ - 2064698 - CVE-2020-36518 jackson-databind: denial of service via a large depth of nested objects
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