CVE-2022-23307 in Chainsawinfo

Summary

by MITRE • 01/18/2022

CVE-2020-9493 identified a deserialization issue that was present in Apache Chainsaw. Prior to Chainsaw V2.0 Chainsaw was a component of Apache Log4j 1.2.x where the same issue exists.

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Analysis

by VulDB Data Team • 05/26/2026

The vulnerability identified as CVE-2022-23307 represents a critical deserialization flaw that has persisted across multiple Apache software components, specifically affecting Apache Chainsaw and its historical integration with Apache Log4j 1.2.x. This vulnerability stems from the insecure handling of serialized objects within the application's processing pipeline, creating a pathway for remote code execution attacks that can be exploited by malicious actors without requiring authentication. The issue was initially documented as CVE-2020-9493 in Apache Chainsaw, but its roots extend back to the older Log4j 1.2.x framework where identical vulnerabilities were present, demonstrating the long-standing nature of this security flaw. The deserialization vulnerability occurs when the application accepts serialized data from untrusted sources and directly deserializes it without proper validation or sanitization, allowing attackers to craft malicious payloads that execute arbitrary code within the application's runtime environment.

The technical implementation of this vulnerability leverages the Java deserialization mechanism, which is commonly used for object persistence and network communication within Java applications. When Chainsaw processes serialized data, it fails to validate the integrity of the serialized object structure, enabling attackers to inject malicious serialized objects that contain executable code. This flaw maps directly to CWE-502, which specifically addresses "Deserialization of Untrusted Data" as a critical security weakness in software systems. The vulnerability's impact is amplified by the fact that Chainsaw was historically integrated with Log4j 1.2.x, meaning that the same deserialization issue existed in multiple components of the Apache ecosystem. Attackers can exploit this weakness by crafting specially crafted serialized objects that, when processed by the vulnerable application, trigger the execution of malicious code on the target system.

The operational impact of CVE-2022-23307 extends beyond simple code execution, as it can lead to complete system compromise and unauthorized access to sensitive data within the affected environments. This vulnerability allows attackers to bypass traditional security controls and gain persistent access to systems that rely on these vulnerable components. The attack surface is particularly concerning given that Chainsaw was used for log analysis and monitoring purposes, making it a valuable target for threat actors seeking to establish persistent backdoors or exfiltrate log data. The vulnerability's presence in both standalone Chainsaw applications and integrated Log4j 1.2.x environments creates multiple attack vectors that can be exploited across different deployment scenarios. Organizations using these components face significant risk of data breaches, system compromise, and potential lateral movement within their networks, as the vulnerability enables attackers to execute arbitrary commands with the privileges of the running application process.

Mitigation strategies for CVE-2022-23307 require immediate attention to address the underlying deserialization vulnerability across affected systems. The primary recommendation involves upgrading to Apache Chainsaw version 2.0 or later, which includes proper input validation and secure deserialization practices. Organizations should also implement network segmentation and access controls to limit exposure of vulnerable components to untrusted networks. The implementation of application whitelisting and runtime protection mechanisms can provide additional layers of defense against exploitation attempts. Security teams should conduct comprehensive inventory assessments to identify all systems running vulnerable versions of Chainsaw or Log4j 1.2.x components, as the vulnerability's historical presence in multiple Apache products creates extended attack surfaces. Furthermore, organizations should review their logging and monitoring configurations to detect potential exploitation attempts, as successful exploitation would likely generate unusual deserialization activity within system logs. The remediation process must also include thorough testing of upgraded components to ensure that the security fixes do not introduce compatibility issues with existing workflows and configurations.

Reservation

01/17/2022

Disclosure

01/18/2022

Moderation

accepted

CPE

ready

EPSS

0.52458

KEV

no

Activities

very low

Sources

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