CVE-2022-0853: Red Hat Decision Manager Info Leak Flaw

CVE-2022-0853 Overview

A memory leak vulnerability was discovered in JBoss-client that occurs when using UserTransaction repeatedly. This flaw allows remote attackers to cause resource exhaustion on the client-side, potentially leading to denial of service conditions and information leakage. The vulnerability stems from improper memory management (CWE-401) where allocated memory is not properly released after use.

Critical Impact

Remote attackers can exploit this memory leak vulnerability to exhaust system resources on JBoss client applications, causing service disruption and potential information disclosure through memory-based side channels.

Affected Products

• Red Hat Decision Manager 7.0
• Red Hat JBoss Enterprise Application Platform 7.0.0
• Red Hat JBoss Enterprise Application Platform Expansion Pack
• Red Hat Process Automation 7.0
• Red Hat Single Sign-On 7.0

Discovery Timeline

• March 11, 2022 - CVE-2022-0853 published to NVD
• November 21, 2024 - Last updated in NVD database

Technical Details for CVE-2022-0853

Vulnerability Analysis

The vulnerability exists in the JBoss client-side component where memory is not properly deallocated when UserTransaction operations are performed repeatedly. Each transaction cycle leaves residual memory allocations that accumulate over time, eventually leading to memory exhaustion. This improper release of memory before removing the last reference (CWE-401 - Missing Release of Memory after Effective Lifetime) creates a resource exhaustion condition that can be triggered remotely over the network without requiring authentication or user interaction.

The flaw primarily affects availability by allowing attackers to degrade or crash client applications through sustained transaction requests. While the vulnerability does not directly compromise data confidentiality or integrity, the memory leak pattern could potentially expose sensitive information stored in leaked memory segments under certain conditions.

Root Cause

The root cause is improper memory management in the JBoss client library's UserTransaction handling mechanism. When UserTransaction objects are created and utilized, the associated memory resources are not properly released upon transaction completion or rollback. This results in a classic memory leak pattern where each transaction cycle consumes additional memory without corresponding deallocation.

The issue is classified under CWE-401 (Missing Release of Memory after Effective Lifetime), indicating that the application fails to release allocated memory resources when they are no longer needed, allowing the memory to remain allocated indefinitely.

Attack Vector

The vulnerability can be exploited remotely over the network. An attacker can trigger the memory leak by causing the target application to perform repeated UserTransaction operations. This can be accomplished through legitimate-looking requests that invoke transaction-heavy operations on the client side.

Since the attack requires no privileges or user interaction, an attacker can automate the exploitation to rapidly exhaust available memory on the target system. The attack is relatively straightforward to execute - the attacker simply needs to identify an endpoint that utilizes UserTransaction and send repeated requests to trigger the memory leak.

For technical details and proof of concept information, see the GitHub PoC repository for CVE-2022-0853.

Detection Methods for CVE-2022-0853

Indicators of Compromise

• Abnormal memory growth patterns in JBoss client applications over time
• Java heap space exhaustion errors or OutOfMemoryError exceptions in application logs
• Degraded application performance coinciding with UserTransaction-heavy workloads
• Increased garbage collection activity without corresponding memory reclamation

Detection Strategies

• Monitor JVM memory metrics (heap usage, garbage collection frequency) for applications using JBoss client libraries
• Implement application-level logging to track UserTransaction lifecycle events and identify incomplete cleanup
• Deploy memory profiling tools to detect memory leak patterns in production environments
• Review application logs for java.lang.OutOfMemoryError exceptions related to heap space

Monitoring Recommendations

• Set up alerts for JVM heap utilization exceeding normal operational thresholds
• Monitor garbage collection metrics for signs of memory pressure (long GC pauses, frequent full GCs)
• Track application response times as degradation may indicate resource exhaustion
• Implement periodic memory dumps for analysis during suspected exploitation attempts

How to Mitigate CVE-2022-0853

Immediate Actions Required

• Identify all applications using affected Red Hat JBoss components and prioritize patching
• Review application transaction patterns and implement rate limiting on transaction-heavy endpoints
• Increase JVM heap allocation as a temporary measure while patches are applied
• Monitor affected systems for signs of memory exhaustion attacks

Patch Information

Red Hat has acknowledged this vulnerability and tracking information is available through Red Hat Bug Report #2060725. Organizations should consult Red Hat's official security advisories for their specific product versions and apply the recommended patches.

Affected organizations running Red Hat JBoss Enterprise Application Platform, Decision Manager, Process Automation, or Single Sign-On should check for updates through their Red Hat subscription management portal.

Workarounds

• Implement application-level rate limiting on endpoints that utilize UserTransaction
• Configure JVM garbage collection settings to more aggressively reclaim memory
• Deploy application restart schedules during low-traffic periods to clear accumulated memory
• Consider implementing connection pooling and transaction timeouts to limit exposure

# Example JVM configuration to help manage memory pressure
# Add to JAVA_OPTS in standalone.conf or domain.conf

# Increase heap size temporarily
JAVA_OPTS="$JAVA_OPTS -Xms2g -Xmx4g"

# Enable verbose GC logging for monitoring
JAVA_OPTS="$JAVA_OPTS -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps"

# Configure G1 garbage collector for better memory management
JAVA_OPTS="$JAVA_OPTS -XX:+UseG1GC -XX:MaxGCPauseMillis=200"