CVE-2026-1225
Java vulnerability analysis and mitigation

Overview

CVE-2026-1225 is an Arbitrary Code Execution (ACE) vulnerability in configuration file processing within QOS.CH logback-core, affecting all versions up to and including 1.5.24. The flaw allows an attacker who has compromised a logback configuration file to instantiate arbitrary Java classes already present on the application's classpath. It was disclosed on January 22, 2026, by the Switzerland Government Common Vulnerability Program (NCSC.ch) and assigned GHSA-qqpg-mvqg-649v. The vulnerability carries a CVSS v4.0 base score of 1.8 (Low), reflecting the significant preconditions required for exploitation (Github Advisory, Feedly).

Technical details

The root cause is classified as CWE-20 (Improper Input Validation): logback-core's configuration file processor does not adequately validate or restrict which Java classes can be instantiated when processing XML configuration directives. An attacker with write access to a logback.xml (or equivalent) configuration file can inject a class reference that causes logback to instantiate an arbitrary class from the JVM classpath during configuration parsing. The attack vector is local, requires high privileges (write access to the config file), high attack complexity, and the presence of a suitable gadget class on the classpath. Notably, the instantiated object is typically discarded immediately after creation, meaning side effects are limited to constructor-time execution. The fix, committed in logback version 1.5.25, adds an AppenderDeclarationAnalyser that validates appender references and restricts class instantiation to declared, known-safe components (Github Advisory, logback commit).

Impact

Successful exploitation could result in unintended code execution during Java class instantiation at configuration load time, with low impact to confidentiality, integrity, and availability of both the vulnerable and subsequent systems. Because the instantiated object is typically discarded with no further execution, the practical impact is constrained — however, certain classpath gadgets with side-effectful constructors (e.g., those triggering network connections, file writes, or deserialization) could be leveraged for more meaningful harm. The risk is most pronounced in multi-tenant or shared environments where multiple users share a JVM or application server, and where a lower-privileged user may have write access to configuration files (Github Advisory, Feedly).

Exploitation steps

  1. Gain write access: Obtain write access to the target application's logback configuration file (e.g., logback.xml or logback-spring.xml) — this may be achieved through a separate vulnerability, misconfigured file permissions, or insider access.
  2. Enumerate the classpath: Identify Java classes present on the application's classpath that have side-effectful constructors (e.g., classes that perform network calls, file operations, or trigger deserialization during instantiation).
  3. Craft malicious configuration: Modify the logback configuration file to reference the target class as an appender or component, using a class name that logback will attempt to instantiate during configuration parsing.
  4. Trigger configuration reload: Wait for or trigger a logback configuration reload (e.g., by restarting the application, or if auto-scan is enabled, waiting for the scan interval to elapse).
  5. Observe constructor-time side effects: The targeted class is instantiated by logback's configuration processor; any side effects occurring in the constructor (e.g., code execution, file creation, network connection) are triggered at this point, even though the object is subsequently discarded (Github Advisory, logback commit).

Indicators of compromise

  • File System: Unexpected or unauthorized modifications to logback.xml, logback-spring.xml, or other logback configuration files; new or altered <appender class="..."> entries referencing unusual or non-standard Java classes.
  • Logs: Logback status output (e.g., logback-status.log or console) showing warnings such as Appender named [...] could not be found or errors during configuration parsing referencing unexpected class names; Java stack traces related to class instantiation failures during logback initialization.
  • Process: Unusual child processes or network connections spawned by the Java application process immediately following a logback configuration reload, particularly if correlated with a configuration file change.
  • File Integrity: Changes to logback configuration files detected by file integrity monitoring (FIM) tools, especially if made by accounts other than the application service account (Github Advisory).

Mitigation and workarounds

Upgrade ch.qos.logback:logback-core to version 1.5.25 or later, which introduces the AppenderDeclarationAnalyser fix that restricts class instantiation during configuration processing (Github Advisory, logback release notes). As a workaround where immediate upgrade is not possible: restrict write access to logback configuration files to only the application service account using OS-level file permissions; implement file integrity monitoring on configuration files to detect unauthorized changes; and audit the application classpath to remove unnecessary or potentially dangerous classes. IBM watsonx.data and Splunk AppDynamics users should apply the respective vendor patches referenced in their security bulletins (IBM Advisory, Splunk Advisory).

Community reactions

IBM issued a security bulletin addressing CVE-2026-1225 as part of multiple vulnerabilities in watsonx.data, and Splunk published advisories for AppDynamics Machine Agent and Private Synthetic Agent in May 2026 (IBM Advisory, Splunk Advisory). A technical blog post on Infinit Security discussed the vulnerability in the context of conditional processing of logback.xml in conjunction with Spring (Infinit Security). Community reaction has been measured given the low CVSS score and significant exploitation preconditions; the vulnerability was noted on Bluesky and security aggregators but did not generate significant alarm.

Additional resources


SourceThis report was generated using AI

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