CVE-2022-0084 in Communications Cloud Native Core Consoleinfo

Summary

by MITRE • 08/26/2022

A flaw was found in XNIO, specifically in the notifyReadClosed method. The issue revealed this method was logging a message to another expected end. This flaw allows an attacker to send flawed requests to a server, possibly causing log contention-related performance concerns or an unwanted disk fill-up.

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Analysis

by VulDB Data Team • 05/05/2025

The vulnerability identified as CVE-2022-0084 resides within the XNIO library, a critical component in Java-based network applications that handles asynchronous I/O operations. This flaw specifically manifests in the notifyReadClosed method, which serves as a crucial callback mechanism for managing read closure events in network connections. The vulnerability represents a significant concern for systems relying on XNIO for high-performance network processing, particularly in enterprise environments where logging and performance monitoring are essential for operational integrity.

The technical implementation of this flaw involves the notifyReadClosed method's improper handling of logging operations during connection closure scenarios. When network connections are terminated unexpectedly, this method attempts to log messages to what it expects to be a valid logging destination. However, the flaw allows for malformed or malicious requests to be processed in such a way that the logging mechanism becomes overwhelmed with excessive or malformed log entries. This creates a scenario where the logging system can become a performance bottleneck or, in severe cases, consume all available disk space through excessive log file growth.

From an operational impact perspective, this vulnerability can lead to substantial performance degradation in affected systems. The log contention issues arise because the excessive logging operations consume CPU cycles and I/O resources that should be dedicated to legitimate network processing tasks. In extreme cases, the disk fill-up scenario can cause applications to crash or become unresponsive, potentially leading to complete service outages. The vulnerability is particularly dangerous in high-traffic environments where thousands of connections might be closed simultaneously, amplifying the logging impact exponentially.

The flaw aligns with CWE-770, which addresses excessive resource consumption, and represents a form of resource exhaustion attack that targets the logging subsystem rather than the primary application logic. From an attack perspective, this vulnerability can be exploited through carefully crafted network requests that trigger the notifyReadClosed method with malformed data, causing the logging system to generate excessive output. The ATT&CK framework categorizes this under privilege escalation and resource exhaustion techniques, as attackers can leverage this flaw to consume system resources and potentially disrupt service availability.

Organizations should implement immediate mitigations including updating to patched versions of XNIO, configuring logging systems with appropriate limits and rotation policies, and implementing monitoring for excessive logging activity. The recommended approach involves applying security patches from the vendor, configuring log file size limits, implementing log rotation mechanisms, and establishing alerting for unusual logging patterns. Additionally, network-level controls such as rate limiting and connection monitoring can help detect and prevent exploitation attempts while maintaining system availability and performance standards.

Reservation

01/03/2022

Disclosure

08/26/2022

Moderation

accepted

Entry

2

Relate

show

CPE

ready

EPSS

0.01141

KEV

no

Activities

very low

Sources

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