mitigations.md

Mitigation Strategies Analysis for dcloudio/uni-app

Mitigation Strategy: Platform-Specific Security Testing (Uni-App Context)

• Mitigation Strategy: Platform-Specific Security Testing (Uni-App Context)
• Description:
  1. Target Platform Matrix: Define the matrix of target platforms (iOS, Android, Web, Mini-Programs) for your uni-app application.
  2. Post-Compilation Testing: Perform security testing after compiling the uni-app project for each target platform. This is crucial because uni-app compilation can introduce platform-specific behaviors and vulnerabilities.
  3. Focus on Platform Differences: Specifically test areas where uni-app's cross-platform abstraction might introduce security variations. This includes:
     • Native API Interactions: Verify secure and consistent behavior of uni.* APIs across platforms.
     • UI Rendering and Security Context: Test for platform-specific rendering issues that could lead to XSS or other UI-related vulnerabilities.
     • Permission Handling: Ensure platform permission models are correctly implemented and enforced by uni-app's compiled output.
  4. Utilize Platform-Specific Tools: Employ security testing tools relevant to each platform (e.g., static analyzers for native code, platform-specific dynamic analysis tools).
  5. Document Platform-Specific Findings: Maintain separate security findings and remediation plans for each target platform, acknowledging platform-specific vulnerabilities.
• Threats Mitigated:
  • Platform-Specific Vulnerabilities Introduced by Compilation (High Severity): Vulnerabilities arising from the uni-app compilation process itself, or platform-specific bugs exposed by the compiled code.
  • Inconsistent Security Behavior Across Platforms (Medium Severity): Security features or mitigations behaving differently or being absent on certain platforms due to uni-app's abstraction layer.
• Impact:
  • Platform-Specific Vulnerabilities Introduced by Compilation: High Risk Reduction
  • Inconsistent Security Behavior Across Platforms: Medium Risk Reduction
• Currently Implemented: Partially implemented. Basic functional testing is done on iOS and Android. Security testing is primarily focused on the web version and not systematically repeated after compilation for each platform.
• Missing Implementation: Missing dedicated security testing procedures after uni-app compilation for each target platform. Lack of platform-specific security testing tools integrated into the uni-app development workflow. No systematic process to identify and address security inconsistencies across platforms arising from uni-app.

Mitigation Strategy: Principle of Least Privilege for Native API Access (Uni-App APIs)

• Mitigation Strategy: Principle of Least Privilege for Native API Access (Uni-App APIs)
• Description:
  1. Uni-API Inventory Review: Conduct a thorough review of all uni.* APIs used in the uni-app project's JavaScript code.
  2. Justify API Usage: For each uni.* API call, explicitly justify its necessity for the application's core functionality. Question and challenge any API usage that seems excessive or unnecessary.
  3. Minimize API Scope: Refactor code to use the least powerful uni.* API that fulfills the required functionality. Avoid using APIs with broader permissions or capabilities than needed.
  4. Runtime Permission Management (Uni-App Context): Leverage uni-app's permission handling mechanisms (if available and applicable) to request permissions only when necessary and in a user-friendly manner.
  5. Regular Uni-API Audit: Establish a process for regularly auditing uni.* API usage during development and maintenance to ensure continued adherence to the principle of least privilege.
• Threats Mitigated:
  • Unauthorized Access to Device Features via Uni-APIs (Medium to High Severity): Malicious code exploiting vulnerabilities in the application or plugins to gain access to sensitive device features through overly permissive uni.* APIs.
  • Data Exfiltration via Uni-APIs (Medium Severity): Unnecessary or excessive uni.* API access potentially enabling malicious code to exfiltrate sensitive user data using device functionalities exposed through these APIs.
• Impact:
  • Unauthorized Access to Device Features via Uni-APIs: High Risk Reduction
  • Data Exfiltration via Uni-APIs: Medium Risk Reduction
• Currently Implemented: Partially implemented. Code reviews include some checks for uni.* API usage, but not systematically focused on least privilege. Permission requests are generally minimized during initial feature development.
• Missing Implementation: Missing automated tools to analyze uni.* API usage and flag potentially over-privileged API calls. No formal, enforced process for regularly auditing and ensuring least privilege specifically for uni-app native API access.

Mitigation Strategy: Input Validation and Sanitization at the Uni-App Bridge

• Mitigation Strategy: Input Validation and Sanitization at the Uni-App Bridge
• Description:
  1. Bridge Interface Mapping: Map out all interfaces where data crosses the uni-app JavaScript bridge – from JavaScript to native (via uni.* API calls) and from native to JavaScript (e.g., callbacks, custom module responses).
  2. JavaScript-Side Validation: Implement robust input validation in JavaScript before sending data across the bridge via uni.* APIs. This includes data type, format, range, and whitelist validation as described previously.
  3. Native-Side Sanitization (Custom Modules): If using custom native modules with uni-app, implement thorough sanitization of data received from JavaScript within the native module code before processing it.
  4. Uni-App API Parameter Validation: Where possible, leverage any built-in validation mechanisms provided by specific uni.* APIs themselves. However, always supplement this with your own validation logic.
  5. Bridge Error Handling: Implement comprehensive error handling for invalid data at both the JavaScript and native bridge interfaces. Log errors for debugging and security monitoring purposes.
• Threats Mitigated:
  • Injection Attacks via Uni-App Bridge (High Severity): Exploiting vulnerabilities in native code by sending malicious or malformed data through the uni-app bridge, leading to SQL Injection, Command Injection, etc.
  • Cross-Site Scripting (XSS) via Bridge Data (High Severity): If data received from native side via the bridge is improperly handled and rendered in webviews, it can create XSS vulnerabilities.
  • Data Corruption via Bridge (Medium Severity): Invalid or malicious data passed through the bridge corrupting application state or backend systems due to lack of validation.
• Impact:
  • Injection Attacks via Uni-App Bridge: High Risk Reduction
  • Cross-Site Scripting (XSS) via Bridge Data: High Risk Reduction
  • Data Corruption via Bridge: Medium Risk Reduction
• Currently Implemented: Partially implemented. Basic input validation exists in some JavaScript forms, but not consistently enforced for all uni.* API calls. Native-side sanitization is not systematically implemented as custom native modules are not heavily used.
• Missing Implementation: Missing a centralized input validation and sanitization framework specifically for uni-app bridge communication. No automated checks to ensure validation and sanitization are consistently applied to all bridge interfaces. Need to prioritize native-side sanitization if custom native modules are developed further.

Mitigation Strategy: Vulnerability Scanning for Uni-App Plugins

• Mitigation Strategy: Vulnerability Scanning for Uni-App Plugins
• Description:
  1. Uni-App Plugin Inventory: Maintain a detailed inventory of all uni-app plugins used in the project, including specific versions.
  2. Automated Plugin Dependency Scanning: Integrate automated tools into the uni-app development workflow (CI/CD) to scan the dependencies of uni-app plugins for known vulnerabilities. Utilize vulnerability databases relevant to JavaScript and potentially native plugin components.
  3. Uni-App Plugin Security Audits (Manual): For critical uni-app plugins (especially those handling sensitive data or core security functionalities), conduct manual security audits and code reviews to identify vulnerabilities beyond automated scans.
  4. Plugin Source and Maintainer Vetting: Before adopting a uni-app plugin, thoroughly vet its source, maintainer reputation, and community support. Prioritize plugins from trusted sources with active maintenance and security awareness.
  5. Uni-App Plugin Update Management: Establish a proactive process for regularly updating uni-app plugins to the latest versions to patch known vulnerabilities. Monitor security advisories specifically related to uni-app plugins and their dependencies.
• Threats Mitigated:
  • Vulnerabilities in Third-Party Uni-App Plugins (High to Critical Severity): Exploitable vulnerabilities within uni-app plugins that could lead to remote code execution, data breaches, or denial of service within the uni-app application.
  • Supply Chain Attacks via Uni-App Plugins (Medium to High Severity): Compromised uni-app plugins or their dependencies introducing malicious code directly into the uni-app application.
• Impact:
  • Vulnerabilities in Third-Party Uni-App Plugins: High Risk Reduction
  • Supply Chain Attacks via Uni-App Plugins: Medium Risk Reduction
• Currently Implemented: Partially implemented. Dependency checks are occasionally performed using npm audit or similar tools. Plugin updates are generally applied, but not always proactively driven by security concerns.
• Missing Implementation: Missing automated vulnerability scanning specifically tailored for uni-app plugin dependencies and integrated into CI/CD. No formal process for manual security audits of uni-app plugins or security-focused plugin vetting criteria. Need a proactive plugin update strategy driven by security advisories related to the uni-app plugin ecosystem.

Mitigation Strategy: Secure Data Storage using Uni-App Storage APIs

• Mitigation Strategy: Secure Data Storage using Uni-App Storage APIs
• Description:
  1. Uni-App Storage API Usage Review: Analyze all usage of uni-app's storage APIs (primarily uni.setStorage, uni.getStorage, uni.removeStorage, etc.) in the project's JavaScript code.
  2. Sensitive Data Identification (Storage Context): Identify data stored using uni-app storage APIs that is considered sensitive (user credentials, personal data, application secrets).
  3. Leverage Uni-App Encryption Options: If uni.setStorage or related APIs offer built-in encryption options, utilize them for storing sensitive data. Understand the encryption mechanisms provided by uni-app and their security limitations.
  4. Platform-Specific Secure Storage (Via Uni-App Abstraction): Investigate if uni-app provides access to platform-native secure storage mechanisms through its APIs. If so, prioritize using these for highly sensitive data over basic uni.setStorage if security requirements demand it.
  5. Avoid Plain Text Storage in Uni-App Storage: Strictly avoid storing sensitive data in plain text using uni-app storage APIs. Always employ encryption or secure storage mechanisms provided by uni-app or the underlying platforms.
• Threats Mitigated:
  • Data Breaches from Device Compromise (Uni-App Storage) (High Severity): Sensitive data stored by the uni-app application using its storage APIs being exposed if a device is lost, stolen, or compromised.
  • Unauthorized Access to Local Data via Uni-App Storage (Medium Severity): Malicious applications or users with device access gaining unauthorized access to sensitive data stored by the uni-app application through its storage mechanisms.
• Impact:
  • Data Breaches from Device Compromise (Uni-App Storage): High Risk Reduction
  • Unauthorized Access to Local Data via Uni-App Storage: Medium Risk Reduction
• Currently Implemented: Partially implemented. uni.setStorage is used for some local data, but encryption options (if available within uni-app's API) are not consistently utilized for sensitive data. Platform-native secure storage via uni-app abstraction is not actively explored or implemented.
• Missing Implementation: Missing systematic classification of data sensitivity specifically in the context of uni-app storage. Need to consistently implement encryption options provided by uni-app storage APIs for sensitive data. Investigate and implement platform-native secure storage access through uni-app if available and necessary for enhanced security. No formal audits of data storage practices related to uni-app storage APIs.

Mitigation Strategy: Mini-Program Specific Security Considerations (Uni-App Deployment)

• Mitigation Strategy: Mini-Program Specific Security Considerations (Uni-App Deployment)
• Description:
  1. Mini-Program Platform Guidelines Review: Thoroughly review the security guidelines and development restrictions imposed by each target mini-program platform (e.g., WeChat Mini-Program, Alipay Mini-Program).
  2. Uni-App Mini-Program Compliance Checks: Ensure the uni-app application's code and configuration comply with all security requirements and restrictions of the target mini-program platforms before deployment.
  3. Mini-Program Platform Security Testing: Perform security testing within the specific mini-program environment after deploying the uni-app application. This includes testing platform-specific APIs, permission models, and security policies.
  4. Minimize External Resources in Mini-Programs (Uni-App Context): Adhere to mini-program platform restrictions on external resource loading. Minimize the use of external resources in the uni-app application when targeting mini-programs to reduce potential attack surfaces and comply with platform policies.
  5. Mini-Program Platform Security Audits: Conduct regular security audits of the uni-app application deployed as a mini-program, focusing on platform-specific vulnerabilities and compliance with evolving mini-program platform security guidelines.
• Threats Mitigated:
  • Mini-Program Platform Policy Violations (Medium Severity): Uni-app application violating security policies of mini-program platforms, leading to rejection, suspension, or security incidents within the mini-program environment.
  • Platform-Specific Vulnerabilities in Mini-Program Context (Medium to High Severity): Vulnerabilities arising from the specific execution environment and API limitations of mini-program platforms when running a uni-app application.
• Impact:
  • Mini-Program Platform Policy Violations: Medium Risk Reduction (Primarily operational/reputational risk)
  • Platform-Specific Vulnerabilities in Mini-Program Context: Medium to High Risk Reduction
• Currently Implemented: Partially implemented. Basic functional testing is done within target mini-program environments. Compliance checks are primarily focused on functional requirements, not systematically on security guidelines.
• Missing Implementation: Missing dedicated security testing procedures within each target mini-program platform environment after uni-app deployment. No formal process to ensure uni-app application's compliance with all security guidelines of mini-program platforms. Need to establish security audits specifically for uni-app mini-program deployments, focusing on platform-specific vulnerabilities and policy adherence.