mitigations.md

Mitigation Strategies Analysis for mikepenz/materialdrawer

Mitigation Strategy: Dependency Management and Vulnerability Scanning

1. Targeted Scanning: Focus vulnerability scanning specifically on materialdrawer and its direct and transitive dependencies. While general dependency scanning is good, prioritize analyzing the output related to this library.
2. Rapid Response: Establish a process for immediate review and remediation of any vulnerabilities found in materialdrawer or its dependencies. "Immediate" means within a defined, short timeframe (e.g., 24-48 hours for critical vulnerabilities).
3. Version Pinning (with Caution): Consider pinning the version of materialdrawer to a specific, known-good version after thorough testing. This prevents accidental upgrades to a potentially vulnerable version. However, this must be balanced against the need to apply security updates. A process for regularly reviewing and updating the pinned version is essential.
4. Forking (Last Resort): If a critical vulnerability exists and no official patch is available, and the risk is unacceptable, consider forking the materialdrawer repository and applying a patch yourself. This is a high-maintenance option and should only be used as a last resort. Document the reasons for forking and the applied changes thoroughly.

• Threats Mitigated:

  • Known Vulnerabilities in materialdrawer: (Severity: High to Critical) - Direct exploitation of flaws in the library's code.
  • Known Vulnerabilities in Dependencies: (Severity: High to Critical) - Vulnerabilities in libraries used by materialdrawer that could be leveraged through the library.

• Impact:

  • Known Vulnerabilities: Directly reduces the risk of attacks targeting the library and its dependencies. Risk reduction: High.

• Currently Implemented:

  • npm audit is integrated into the CI/CD pipeline (GitHub Actions).
  • Dependabot is enabled and configured for security updates.

• Missing Implementation:

  • A dedicated process for prioritizing and rapidly addressing materialdrawer-specific vulnerabilities is not formalized.
  • Version pinning is not currently used.

Mitigation Strategy: Input Sanitization and Validation (for materialdrawer Inputs)

1. Precise Input Mapping: Create a precise mapping of every materialdrawer component property that accepts user-provided or externally-sourced data. This goes beyond just name and description; consider:
   • icon (if accepting URLs or custom components).
   • badge content.
   • Any custom properties used in custom renderers.
   • Data used to dynamically generate drawer items (e.g., from an API).
2. Targeted Sanitization: Apply strict HTML sanitization to all mapped input points before passing data to materialdrawer components. Use a well-vetted library like DOMPurify (for JavaScript) and configure it to allow only a minimal set of safe HTML tags and attributes.
3. Type and Format Validation (Pre-Sanitization): Before sanitization, validate the type and format of the data. This prevents unexpected input from bypassing sanitization or causing errors. For example:
   • If a badge is expected to be a number, ensure it is a number before sanitizing.
   • If an icon is expected to be a URL, validate it as a URL.
4. Custom Renderer Audits: Conduct rigorous security audits of any custom renderers used with materialdrawer. These are high-risk areas because they often involve direct manipulation of the DOM. Ensure they:
   • Properly sanitize and validate all input.
   • Avoid using dangerouslySetInnerHTML (React) or similar constructs without extreme caution and thorough sanitization.
   • Prefer built-in materialdrawer components whenever possible.
5. Data-Driven Drawer Generation: If drawer items are generated dynamically (e.g., from a database or API), apply sanitization and validation at the point of data retrieval or generation, before the data is used to create materialdrawer components.

• Threats Mitigated:

  • Cross-Site Scripting (XSS) (via materialdrawer): (Severity: High) - Prevents injection of malicious scripts through data displayed in the drawer.
  • HTML Injection (via materialdrawer): (Severity: Medium) - Prevents UI disruption or phishing attacks through manipulated drawer content.

• Impact:

  • XSS/HTML Injection: Directly mitigates the risk of these attacks through the materialdrawer component. Risk reduction: High.

• Currently Implemented:

  • Basic sanitization using DOMPurify is applied to the name property of drawer items.

• Missing Implementation:

  • Sanitization is not consistently applied to all input points (e.g., description, badge, custom renderers, dynamically generated items).
  • Type and format validation is largely absent.
  • Rigorous security audits of custom renderers have not been performed.

Mitigation Strategy: Review Custom Drawer Logic (Related to materialdrawer)

1. Identify materialdrawer-Specific Logic: Focus code reviews and security testing specifically on code that interacts with materialdrawer. This includes:
   • Event handlers attached to materialdrawer components (e.g., onClick, onSelection).
   • Code that dynamically creates or modifies drawer items.
   • Custom renderers.
   • Any logic that uses materialdrawer's API (e.g., opening/closing the drawer, managing selection).
2. Security-Focused Code Reviews: During code reviews, explicitly look for:
   • Improper handling of user input passed to materialdrawer.
   • Potential authorization bypasses related to drawer item visibility or actions.
   • Logic errors that could lead to unexpected behavior or data exposure.
3. Targeted Security Testing: Create test cases that specifically target the materialdrawer integration:
   • Attempt to inject malicious data into drawer items.
   • Test edge cases and boundary conditions for dynamically generated content.
   • Verify that access controls are correctly enforced for drawer items and actions.

• Threats Mitigated:

  • Logic Flaws (in materialdrawer Usage): (Severity: Variable) - Vulnerabilities introduced by how the application uses materialdrawer.
  • XSS/Injection (through Custom Logic): (Severity: High) - If custom logic mishandles input, it could create vulnerabilities even if materialdrawer itself is secure.
  • Authorization Bypasses (Related to Drawer): (Severity: High) - Flaws in how the application controls drawer visibility or actions.

• Impact:

  • Logic Flaws/XSS/Injection/Authorization Bypasses: Reduces the risk of vulnerabilities arising from the application's interaction with materialdrawer. Risk reduction: Variable, depending on the complexity of the integration.

• Currently Implemented:

  • General code reviews are conducted, but they don't specifically focus on the security of materialdrawer interactions.

• Missing Implementation:

  • Dedicated security-focused code reviews and testing specifically targeting materialdrawer integration are missing.

Mitigation Strategy: Data Exposure Prevention (Within materialdrawer context)

1. Drawer Content Inventory: Create a detailed inventory of all data displayed within the materialdrawer components. This includes data in standard items, custom items, badges, and any other UI elements within the drawer.
2. Sensitivity Classification (Drawer-Specific): Classify each data item's sensitivity specifically in the context of the drawer. Even if data is displayed elsewhere in the application, consider whether its presence in the drawer introduces new risks.
3. Conditional Rendering (Drawer Items): Use conditional logic within the drawer rendering code to show or hide drawer items based on user roles, permissions, and the sensitivity of the data. This ensures that only authorized users see specific drawer items.
4. Avoid Sensitive Data in Drawer: Minimize the display of sensitive data (PII, credentials, etc.) directly within the drawer. If absolutely necessary, ensure:
   • The data is essential for the drawer's functionality.
   • The user must see it in the drawer context.
   • Strong access controls are in place.
   • The data is handled securely (encrypted in transit, masked if possible).
5. Review Drawer Item Structure: Examine the structure of your drawer items. Avoid complex nested structures or custom renderers that might inadvertently expose data.

• Threats Mitigated:

  • Unauthorized Data Access (via Drawer): (Severity: High to Critical) - Prevents unauthorized users from viewing sensitive information displayed within the drawer.
  • Data Breach (Impact on Drawer): (Severity: High to Critical) - Reduces the impact of a data breach by limiting the sensitive data exposed through the drawer.
  • Privacy Violations (Drawer Context): (Severity: High) - Protects user privacy by controlling the display of PII within the drawer.

• Impact:

  • Unauthorized Data Access/Data Breach/Privacy Violations: Significantly reduces the risk of these issues specifically related to the materialdrawer component. Risk reduction: High.

• Currently Implemented:

  • Basic role-based access control is implemented to show/hide some drawer items.

• Missing Implementation:

  • A comprehensive inventory and classification of data displayed specifically within the drawer is missing.
  • Access control logic is not consistently applied to all drawer items.
  • Some potentially sensitive information is displayed in the drawer without a clear security justification.