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[Snyk] Security upgrade ch.qos.logback:logback-classic from 1.4.12 to 1.5.25 #21

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[Snyk] Security upgrade ch.qos.logback:logback-classic from 1.4.12 to 1.5.25 #21

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@sajith-subramanian sajith-subramanian commented Jan 23, 2026

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Snyk has created this PR to fix 1 vulnerabilities in the maven dependencies of this project.

Snyk changed the following file(s):

  • sdkmanager/pom.xml

Vulnerabilities that will be fixed with an upgrade:

Issue Score Upgrade
low severity External Initialization of Trusted Variables or Data Stores
SNYK-JAVA-CHQOSLOGBACK-15062482		   73   ch.qos.logback:logback-classic:
1.4.12 -> 1.5.25
No Path Found No Known Exploit

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Copilot AI review requested due to automatic review settings January 23, 2026 12:21
Copilot AI reviewed Jan 23, 2026
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Pull request overview

This PR upgrades the logback-classic dependency from version 1.4.12 to 1.5.25 to address a security vulnerability (SNYK-JAVA-CHQOSLOGBACK-15062482) related to external initialization of trusted variables or data stores.

Changes:

  • Updated logback-classic from 1.4.12 to 1.5.25 to fix a security vulnerability with a severity score of 73

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sajith-subramanian commented Jan 23, 2026

Merge Risk: High

This upgrade to Logback 1.5.x contains significant breaking changes, despite being a minor version update.

Highlights:

  • DBAppender Breaking Change: The database schema for DBAppender has changed. Four new columns (arg0, arg1, arg2, arg3) are now required. Existing tables must be manually altered to support this.
  • JaninoEventEvaluator Removed: This component has been removed to address a security vulnerability. Configurations using it for filtering will break and must be migrated to custom evaluators.

Source: Logback News
Recommendation: Before merging, verify if your configuration uses DBAppender or JaninoEventEvaluator. If so, you must perform the required database schema or configuration migrations.

Notice 🤖: This content was augmented using artificial intelligence. AI-generated content may contain errors and should be reviewed for accuracy before use.

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