snyk/snyk-docker-plugin
Feb 2025 – Feb 2025
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
Archive HandlingDockerImage ScanningNode.jsTypeScript Development
aarlaud
PROFILE
Aarlaud
In February 2025, Alexandre Arlaud developed Kaniko archive image scanning for the snyk/snyk-docker-plugin repository. He implemented a Kaniko archive extractor and integrated support for Kaniko archives into the existing image extraction workflow, updating image type detection and archive path parsing to recognize this new format. Using TypeScript and Node.js, Alexandre focused on archive handling and Docker image scanning, expanding the plugin’s ability to assess vulnerabilities in images built with Kaniko pipelines. This work addressed the need for broader security coverage and compliance readiness, enhancing the container security posture for users who rely on Kaniko-based image builds in their workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
344
Activity Months1
Your Network
28 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 — Repository: snyk/snyk-docker-plugin. Delivered Kaniko Archive Image Scanning: added a Kaniko archive extractor, integrated Kaniko archive support into the image extraction workflow, and updated image type detection and archive path parsing to recognize Kaniko archives. Implemented via commit 649a58ac0a69f2d6865af3d5ae7e32b201a1fd38 (feat: add kaniko archive scan support (#642)). Business value: expands vulnerability scanning coverage for Kaniko-built images, improving security risk assessment and compliance readiness. Overall impact: strengthens container security posture and image provenance for users relying on Kaniko pipelines.
1 Commits • 1 Features
Feb 1, 2025February 2025 — Repository: snyk/snyk-docker-plugin. Delivered Kaniko Archive Image Scanning: added a Kaniko archive extractor, integrated Kaniko archive support into the image extraction workflow, and updated image type detection and archive path parsing to recognize Kaniko archives. Implemented via commit 649a58ac0a69f2d6865af3d5ae7e32b201a1fd38 (feat: add kaniko archive scan support (#642)). Business value: expands vulnerability scanning coverage for Kaniko-built images, improving security risk assessment and compliance readiness. Overall impact: strengthens container security posture and image provenance for users relying on Kaniko pipelines.
February 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
Archive HandlingDockerImage ScanningNode.jsTypeScript Development
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