Security App for Confluence || Feasibility Doc
- Naveen Kumar C
Feasibility Document for Security for Confluence
Overview
Sensitive information such as API keys, passwords, and access credentials is often unintentionally stored in Confluence pages, blog posts. This creates a significant security risk, as such data can be exploited by malicious actors with network or unauthorized access.
Security for Confluence aims to integrate automated scanning and detection capabilities directly within Confluence to prevent, mitigate, and manage the exposure of sensitive information.
Objectives
Detect sensitive information stored in Confluence spaces, pages.
Provide detailed reporting and remediation workflows for administrators.
Key Features
Automated Detection
Scan newly created or updated content for sensitive information.
Identify patterns such as passwords, private keys, API tokens, and other credentials using built-in and custom rules.
Manual and Automated Scanning
Trigger scans manually for specific spaces or pages.
Conduct full-space to identify previously exposed information.
Reporting and Analytics
Generate downloadable reports for identified issues.
Categorize findings by severity and location (space/page).
Customizable Rules
Enable administrators to define their own patterns for detection.
Allow exceptions for false positives through an allow-list.
Technical Feasibility
Architecture
Integration: The app will be developed as an Atlassian Connect App or a Forge App for seamless integration with Confluence Cloud and Data Center.
Detection Engine: Utilize regex-based pattern matching for known sensitive data formats (e.g., AWS keys, database credentials).
Storage and Processing: Leverage secure, encrypted storage for logs and reports to comply with data protection regulations.
Admin Dashboard: A centralized dashboard to manage scans, view results, and configure settings.
APIs and Tools
Confluence REST APIs for content retrieval and updates.
Atlassian-supported frameworks for app development and hosting.
Challenges
False Positives: High detection accuracy must be achieved to minimize unnecessary blocks or warnings.
Performance Impact: Real-time scanning for large Confluence instances may require optimization.
Compliance: Ensure adherence to data privacy laws such as GDPR when handling sensitive information.
Business Feasibility
Target Audience
Organizations with compliance or security needs.
IT administrators seeking enhanced security for internal knowledge bases.
Industries with high sensitivity to data exposure, such as finance, healthcare, and technology.
Market Potential
Increasing security concerns and regulatory compliance requirements make this a highly relevant solution.
Limited competition in the Confluence security space offers a unique opportunity.
Note: There are no limits to the number of spaces or pages you can have in Confluence. As your pages grow in length, the server resources required to edit and render the pages will increase.
We can’t able to call webhook events in forge apps manifest.yml.