Skip to content

Latest commit

 

History

History
199 lines (174 loc) · 31 KB

mitigations.md

File metadata and controls

199 lines (174 loc) · 31 KB

Mitigation Strategies Analysis for jverkoey/nimbus

Mitigation Strategy: Library Assessment and Alternatives

Description: 1. Identify Nimbus Usage: Thoroughly document all locations within the application's codebase where Nimbus library functionalities are utilized. 2. Functionality Analysis (Nimbus-Specific): Analyze the specific Nimbus functionalities being used in each identified location (e.g., Nimbus image loading, Nimbus caching, Nimbus networking components). 3. Alternative Research (Nimbus Replacement): Research and identify modern, actively maintained iOS libraries that can replace the specific Nimbus functionalities currently in use. Focus on libraries offering similar features to Nimbus. 4. Evaluation and Comparison (Nimbus Alternatives): Evaluate potential replacement libraries based on feature parity with Nimbus, performance compared to Nimbus, community support and update frequency (crucial due to Nimbus's unmaintained status), and integration effort required to replace Nimbus. 5. Migration Plan (Nimbus Removal): If viable alternatives are found, develop a detailed migration plan to systematically remove Nimbus and replace its functionalities with the chosen alternative library. Prioritize replacing the most critical Nimbus components first.

  • List of Threats Mitigated:
    • Outdated and Unmaintained Library (Severity: High) - Directly addresses the core threat by aiming to remove the unmaintained library.
  • Impact:
    • Outdated and Unmaintained Library: High - Eliminates the long-term risk associated with using an unmaintained library by replacing Nimbus.
  • Currently Implemented: Not currently implemented. This is a strategic assessment phase to decide on the future of Nimbus in the project.
  • Missing Implementation: The entire strategy of assessing Nimbus usage and planning for its potential replacement is missing.

Mitigation Strategy: Dependency Auditing and Management (for Nimbus)

Description: 1. Identify Nimbus Dependencies: Create a comprehensive list of all external libraries and frameworks that Nimbus itself depends on. This information can be found in Nimbus's project files or dependency management configurations. 2. Vulnerability Database Check (Nimbus Dependencies): For each dependency of Nimbus, check against known vulnerability databases (e.g., CVE, NVD) to identify any reported security vulnerabilities affecting those specific dependency versions used by Nimbus. 3. Version Update Attempt (Nimbus Dependencies): Attempt to update the vulnerable dependencies of Nimbus to their latest secure versions. This might involve modifying dependency management files or even potentially patching Nimbus if direct updates cause compatibility issues. 4. Compatibility Testing (Nimbus Integration): After updating Nimbus's dependencies, rigorously test the application to ensure continued compatibility with Nimbus and that no regressions are introduced in functionalities relying on Nimbus. 5. Secure Backports/Alternatives (Nimbus Dependency Issues): If direct updates to Nimbus's dependencies are not feasible due to compatibility problems, investigate if secure backports are available for older versions or if alternative, compatible libraries can replace the vulnerable dependencies within the context of Nimbus.

  • List of Threats Mitigated:
    • Outdated and Unmaintained Library (Severity: High) - Specifically mitigates vulnerabilities residing in the dependencies of Nimbus.
  • Impact:
    • Outdated and Unmaintained Library: Medium - Reduces risk by addressing known vulnerabilities in Nimbus's dependencies, but does not address potential vulnerabilities within Nimbus's core code itself.
  • Currently Implemented: Partially implemented. General dependency management might be in place, but specific auditing and targeted updates for Nimbus' dependencies are not actively performed.
  • Missing Implementation: Dedicated dependency audit focusing on Nimbus, vulnerability checks for Nimbus's dependencies, and a process for updating or patching vulnerable Nimbus dependencies are missing.

Mitigation Strategy: Static Code Analysis and Vulnerability Scanning (Focused on Nimbus)

Description: 1. Tool Configuration (Nimbus Focus): Configure static code analysis tools to specifically target and scan code sections in the application that interact with Nimbus functionalities. Define custom rules or configurations to detect common vulnerability patterns relevant to Nimbus's known features (e.g., insecure image handling, potential memory management issues in Nimbus). 2. Regular Scans (Nimbus Code Paths): Schedule regular static code analysis scans, ensuring that code paths utilizing Nimbus are consistently included in the analysis. 3. Vulnerability Scanner Integration (Nimbus Library): Integrate vulnerability scanning tools to directly scan the Nimbus library files themselves and its dependencies for known vulnerabilities. 4. Remediation Process (Nimbus Findings): Establish a clear process to review and remediate any security findings identified by static code analysis or vulnerability scanning that are directly related to Nimbus or its usage. Prioritize vulnerabilities within Nimbus or its dependencies.

  • List of Threats Mitigated:
    • Outdated and Unmaintained Library (Severity: High) - Proactively detects potential vulnerabilities within Nimbus's code and its dependencies.
    • Potential Network Security Issues (Severity: Medium to High, if Nimbus networking is used) - Can identify insecure coding practices in how Nimbus's networking features are used.
    • Image Handling Vulnerabilities (Severity: Medium to High, if Nimbus image features are used) - Can identify potential vulnerabilities in the application's use of Nimbus's image loading or caching functionalities.
    • Memory Leaks and Resource Exhaustion (Severity: Medium) - Can detect potential memory management issues arising from the application's integration with Nimbus.
  • Impact:
    • Outdated and Unmaintained Library: Medium - Detects potential issues but relies on the effectiveness of the analysis tools and defined rules.
    • Potential Network Security Issues: Medium - Can identify common insecure patterns in Nimbus network usage.
    • Image Handling Vulnerabilities: Medium - Can identify common vulnerabilities related to Nimbus image handling.
    • Memory Leaks and Resource Exhaustion: Low to Medium - Static analysis might catch some memory issues, but dynamic analysis is often more effective for this.
  • Currently Implemented: Partially implemented. Static code analysis might be used generally, but specific configuration and vulnerability scanning focused on Nimbus and its usage patterns are likely missing.
  • Missing Implementation: Configuration of static analysis tools for Nimbus-specific checks, vulnerability scanning of the Nimbus library itself, and a dedicated remediation workflow for Nimbus-related findings are missing.

Mitigation Strategy: Secure Network Configuration Review (if using Nimbus Networking)

Description: 1. Identify Nimbus Networking Usage: Confirm if the application utilizes Nimbus's networking functionalities. If so, pinpoint the exact code sections where Nimbus is used for network requests. 2. HTTPS Enforcement (Nimbus Requests): Ensure that all network requests made through Nimbus are strictly enforced to use HTTPS protocol. Verify URL schemes and any network configuration settings within Nimbus's networking components. 3. SSL/TLS Configuration Check (Nimbus Context): Review the SSL/TLS settings specifically used by Nimbus (if configurable within Nimbus itself or the underlying networking framework it utilizes). Confirm strong cipher suites and TLS protocols are enabled for Nimbus network communications. 4. Certificate Pinning (Nimbus Connections - if applicable): If Nimbus is used to communicate with specific, known backend servers, implement certificate pinning for those Nimbus-initiated connections. This adds a layer of security against man-in-the-middle attacks targeting Nimbus network traffic.

  • List of Threats Mitigated:
    • Potential Network Security Issues (Severity: Medium to High) - Addresses insecure network communication originating from Nimbus, man-in-the-middle attacks targeting Nimbus network traffic, and weak network configurations related to Nimbus.
  • Impact:
    • Potential Network Security Issues: High - Significantly reduces network security risks specifically associated with Nimbus's network usage, if implemented correctly.
  • Currently Implemented: Partially implemented. HTTPS might be generally used, but specific review and hardening of network configurations related to Nimbus's networking features are likely missing. Certificate pinning is probably not implemented specifically for Nimbus connections.
  • Missing Implementation: Specific review of Nimbus's network configuration, SSL/TLS settings verification in the context of Nimbus, and implementation of certificate pinning for Nimbus-initiated connections (if applicable) are missing.

Mitigation Strategy: Input Validation and Output Encoding for Network Data (Handled by Nimbus)

Description: 1. Identify Nimbus Network Data Handling: Locate code sections where the application processes data received from network requests made using Nimbus. Focus on how data retrieved via Nimbus is parsed and used. 2. Input Validation Implementation (Nimbus Data): Implement robust input validation specifically for all data received from Nimbus network requests. Validate data immediately after retrieval from Nimbus and before further processing. Validate data types, formats, and ranges according to expected data structures from Nimbus. 3. Sanitization Techniques (Nimbus Data): Sanitize input data received from Nimbus to remove or escape potentially harmful characters or sequences that could lead to injection attacks if processed insecurely. 4. Output Encoding Implementation (Nimbus Data Display): Implement proper output encoding for any data originating from Nimbus network requests that is displayed to users or used in contexts susceptible to injection vulnerabilities (e.g., displaying Nimbus-retrieved data in web views). Use context-aware encoding. 5. Security Testing (Nimbus Data Flow): Conduct security testing specifically targeting the data flow from Nimbus network requests through input validation, processing, and output encoding to verify the effectiveness of these mechanisms in preventing injection attacks related to Nimbus-handled network data.

  • List of Threats Mitigated:
    • Potential Network Security Issues (Severity: High) - Mitigates injection attacks (SQL injection, command injection, XSS if applicable) that could arise from insecurely processing network data retrieved via Nimbus.
  • Impact:
    • Potential Network Security Issues: High - Significantly reduces the risk of injection vulnerabilities related to Nimbus network data handling if implemented comprehensively.
  • Currently Implemented: Partially implemented. Input validation and output encoding might be general practices, but specific and rigorous implementation focused on data received through Nimbus's networking is likely missing.
  • Missing Implementation: Dedicated input validation and output encoding specifically for data handled through Nimbus's networking, and security testing to validate these measures in the Nimbus context are missing.

Mitigation Strategy: Secure Image URL Handling (Nimbus Image Loading)

Description: 1. Identify Nimbus Image URL Sources: Determine all sources from which image URLs are obtained when using Nimbus's image loading features. Track where these URLs originate (e.g., API responses, configuration files, user input). 2. URL Validation and Sanitization (Nimbus URLs): Implement strict validation and sanitization for all image URLs before they are passed to Nimbus for loading. Validate URL format, scheme (enforce https:// or https:// only), and domain. Sanitize URLs to remove potentially malicious characters before Nimbus processes them. 3. Domain Whitelisting (Nimbus Image Sources): Implement domain whitelisting to restrict Nimbus image loading to a predefined set of trusted domains. Reject any image URLs passed to Nimbus that originate from domains not on the whitelist. 4. Path Traversal Prevention (Nimbus URLs): Ensure that URL handling in conjunction with Nimbus image loading prevents path traversal vulnerabilities. Avoid constructing URLs by directly concatenating user-controlled input into URLs used by Nimbus. 5. SSRF Prevention (Nimbus Image Requests): If image URLs used by Nimbus are obtained from external sources, implement measures to prevent Server-Side Request Forgery (SSRF) attacks via Nimbus image loading. Avoid directly using user-provided URLs to make requests to internal resources through Nimbus.

  • List of Threats Mitigated:
    • Image Handling Vulnerabilities (Severity: Medium to High) - Mitigates path traversal attacks through Nimbus image loading, SSRF vulnerabilities potentially exploitable via Nimbus, and loading images from untrusted or malicious sources using Nimbus.
  • Impact:
    • Image Handling Vulnerabilities: High - Significantly reduces risks associated with insecure image URL handling when using Nimbus for image loading.
  • Currently Implemented: Partially implemented. URL validation might be present in some areas, but specific and rigorous validation, sanitization, and domain whitelisting for image URLs used by Nimbus are likely missing.
  • Missing Implementation: Dedicated URL validation, sanitization, domain whitelisting, and path traversal/SSRF prevention measures specifically for image URLs handled by Nimbus are missing.

Mitigation Strategy: Review Image Caching Mechanism (Nimbus Caching)

Description: 1. Understand Nimbus Caching (Implementation Details): Thoroughly understand how Nimbus implements image caching. Determine the storage location (file system, memory), cache duration, and access control mechanisms used by Nimbus's caching. 2. Secure Cache Storage (Nimbus Cache): Ensure that the Nimbus image cache is stored in a secure location with appropriate access controls. If file system based, verify file permissions prevent unauthorized access to the Nimbus cache. Consider encrypting the Nimbus cache if sensitive images are stored. 3. Cache Invalidation Mechanism (Nimbus Cache): Implement a robust cache invalidation mechanism specifically for the Nimbus image cache. Ensure stale or potentially compromised images are not served from the Nimbus cache. Implement time-based, event-based, or manual invalidation for Nimbus cached images. 4. Cache Size Limits (Nimbus Cache): Implement cache size limits for the Nimbus image cache to prevent excessive disk space or memory usage by Nimbus's caching. Configure appropriate cache eviction policies (e.g., LRU) for the Nimbus cache. 5. Cache Poisoning Prevention (Nimbus Cache): If the Nimbus image cache is shared or potentially accessible to multiple users or processes, implement measures to prevent cache poisoning attacks targeting the Nimbus cache, where malicious actors could inject or modify images within Nimbus's cache.

  • List of Threats Mitigated:
    • Image Handling Vulnerabilities (Severity: Medium) - Addresses insecure storage of Nimbus cached images, serving stale or compromised images from Nimbus cache, and potential cache poisoning of the Nimbus image cache.
  • Impact:
    • Image Handling Vulnerabilities: Medium - Reduces risks related to the security and integrity of Nimbus image caching.
  • Currently Implemented: Partially implemented. Nimbus likely has a default caching mechanism, but a security review and hardening of this specific Nimbus mechanism, along with explicit cache invalidation and size limits for Nimbus caching, are likely missing.
  • Missing Implementation: Security review of Nimbus's caching mechanism, secure cache storage configuration for Nimbus cache, implementation of cache invalidation for Nimbus cache, cache size limits for Nimbus cache, and cache poisoning prevention measures for Nimbus cache are missing.

Mitigation Strategy: Resource Limits for Image Processing (Nimbus Image Features)

Description: 1. Identify Nimbus Image Processing Points: Pinpoint the exact code sections where Nimbus performs image processing operations (e.g., resizing, transformations, image manipulations using Nimbus functionalities). 2. Size and Complexity Limits (Nimbus Processing): Implement limits on the size (dimensions, file size) and complexity (processing operations) of images that Nimbus is allowed to process. Reject images exceeding these limits before they are processed by Nimbus. 3. Timeout Mechanisms (Nimbus Processing): Implement timeout mechanisms for Nimbus image processing operations to prevent denial-of-service attacks caused by excessively long processing times when using Nimbus image features. 4. Resource Monitoring (Nimbus Processing): Monitor resource usage (CPU, memory) specifically during Nimbus image processing operations to detect and respond to potential resource exhaustion issues triggered by Nimbus. 5. Error Handling (Nimbus Processing Failures): Implement robust error handling for Nimbus image processing failures. Prevent error messages from revealing sensitive information and ensure graceful handling of errors originating from Nimbus image processing.

  • List of Threats Mitigated:
    • Image Handling Vulnerabilities (Severity: Medium to High) - Mitigates denial-of-service attacks through excessive image processing via Nimbus, potential buffer overflows or memory exhaustion during Nimbus image operations.
    • Memory Leaks and Resource Exhaustion (Severity: Medium) - Prevents resource exhaustion due to uncontrolled image processing performed by Nimbus.
  • Impact:
    • Image Handling Vulnerabilities: Medium - Reduces the risk of DoS and resource-related vulnerabilities in Nimbus image processing.
    • Memory Leaks and Resource Exhaustion: Medium - Helps prevent resource exhaustion specifically related to Nimbus image processing.
  • Currently Implemented: Not currently implemented. Resource limits and timeout mechanisms for Nimbus image processing are likely not in place.
  • Missing Implementation: Implementation of size and complexity limits, timeout mechanisms, resource monitoring, and robust error handling specifically for Nimbus's image processing functionalities are missing.

Mitigation Strategy: Memory Profiling and Performance Testing (Nimbus Usage)

Description: 1. Targeted Profiling (Nimbus Features): Conduct targeted memory profiling and performance testing specifically on application features that utilize Nimbus functionalities. Focus profiling efforts on areas like Nimbus image loading, Nimbus caching, and any other Nimbus features in use. 2. Leak Detection and Analysis (Nimbus Code Paths): Use memory profiling tools to detect memory leaks and analyze memory usage patterns in code paths that involve Nimbus. Identify root causes of leaks and excessive memory consumption related to Nimbus usage. 3. Performance Benchmarking (Nimbus Operations): Establish performance benchmarks for operations involving Nimbus. Conduct performance tests to identify performance bottlenecks and areas for optimization in the application's integration with Nimbus. 4. Regular Monitoring (Nimbus Performance): Implement regular memory profiling and performance testing as part of CI/CD to continuously monitor for memory leaks and performance regressions specifically in areas utilizing Nimbus.

  • List of Threats Mitigated:
    • Memory Leaks and Resource Exhaustion (Severity: Medium) - Detects and helps resolve memory leaks and performance issues arising from Nimbus usage that could lead to resource exhaustion and denial-of-service.
  • Impact:
    • Memory Leaks and Resource Exhaustion: Medium - Reduces the risk of memory leaks and resource exhaustion related to Nimbus by proactively identifying and fixing issues.
  • Currently Implemented: Partially implemented. Performance testing might be general, but dedicated memory profiling and performance testing specifically focused on Nimbus usage are likely missing.
  • Missing Implementation: Targeted memory profiling and performance testing specifically for Nimbus usage, integration of these tests into CI/CD for Nimbus-related code, and a process for addressing identified issues related to Nimbus performance are missing.

Mitigation Strategy: Regular Code Reviews Focusing on Nimbus Usage

Description: 1. Dedicated Review Focus (Nimbus Integration): In regular code reviews, specifically dedicate a portion to focus on code sections that integrate with Nimbus. Make Nimbus usage a specific point of attention during reviews. 2. Security Checklist (Nimbus-Specific): Develop a security checklist specifically for reviewing Nimbus usage. Include items related to memory management in Nimbus context, input validation for data handled by Nimbus, network security considerations for Nimbus networking, image handling security when using Nimbus image features, and general secure coding practices relevant to Nimbus. 3. Peer Review Process (Nimbus Security): Conduct peer code reviews where developers specifically review each other's code with a focus on the security implications of Nimbus integration, using the Nimbus-specific security checklist. 4. Security Expertise (Nimbus Review): Involve security experts or developers with security expertise in code reviews to provide specialized security insights specifically related to Nimbus usage and its potential vulnerabilities. 5. Documentation and Knowledge Sharing (Nimbus Security Best Practices): Document findings from code reviews and share knowledge about secure Nimbus usage best practices within the development team to improve overall security awareness regarding Nimbus.

  • List of Threats Mitigated:
    • Outdated and Unmaintained Library (Severity: High) - Helps identify potential vulnerabilities introduced by insecure usage of Nimbus within the application's codebase.
    • Potential Network Security Issues (Severity: Medium to High) - Can identify insecure network configurations or data handling practices in the application's Nimbus usage.
    • Image Handling Vulnerabilities (Severity: Medium to High) - Can identify potential issues in image processing or caching within the application's Nimbus integration.
    • Memory Leaks and Resource Exhaustion (Severity: Medium) - Can detect potential memory management issues in the application's Nimbus integration code.
  • Impact:
    • Outdated and Unmaintained Library: Medium - Proactively identifies potential issues related to Nimbus usage before they become exploitable vulnerabilities.
    • Potential Network Security Issues: Medium - Improves code quality and reduces the likelihood of network security flaws in Nimbus integration.
    • Image Handling Vulnerabilities: Medium - Improves code quality and reduces the likelihood of image handling vulnerabilities related to Nimbus.
    • Memory Leaks and Resource Exhaustion: Medium - Improves code quality and reduces the likelihood of memory management issues in Nimbus integration.
  • Currently Implemented: Partially implemented. Code reviews are likely conducted, but dedicated focus on Nimbus usage specifically and a security checklist tailored for Nimbus are likely missing.
  • Missing Implementation: Dedicated code review focus on Nimbus, a security checklist specifically for Nimbus usage, and consistent application of this review process with a Nimbus security focus are missing.

Mitigation Strategy: Enhanced Security Monitoring and Incident Response (Nimbus Related Events)

Description: 1. Logging and Monitoring Implementation (Nimbus Actions): Implement comprehensive logging and monitoring specifically for application behavior related to Nimbus usage. Log relevant events, errors, and security-related activities originating from or involving Nimbus modules. 2. SIEM Integration (Nimbus Logs): Integrate application logs, especially those related to Nimbus, with a SIEM system to aggregate logs, detect security anomalies specifically in Nimbus-related events, and trigger alerts for suspicious activities involving Nimbus. 3. Anomaly Detection (Nimbus Behavior): Configure monitoring systems to detect anomalous behavior that could indicate security incidents specifically related to Nimbus (e.g., unusual network traffic originating from Nimbus modules, unexpected errors in Nimbus components, resource exhaustion triggered by Nimbus operations). 4. Incident Response Plan (Nimbus Incidents): Establish a clear incident response plan specifically for security incidents related to Nimbus. Define roles, responsibilities, communication channels, and steps for incident containment, investigation, and remediation for incidents originating from or involving Nimbus. 5. Regular Security Audits (Nimbus Focus): Conduct regular security audits of the application and its infrastructure, with a specific focus on Nimbus usage and potential vulnerabilities. Review logs, monitoring data, and incident response procedures related to Nimbus.

  • List of Threats Mitigated:
    • Outdated and Unmaintained Library (Severity: High) - Enables faster detection and response to vulnerabilities if exploited through Nimbus.
    • Potential Network Security Issues (Severity: Medium to High) - Detects and responds to network-based attacks exploiting Nimbus vulnerabilities.
    • Image Handling Vulnerabilities (Severity: Medium to High) - Detects and responds to attacks exploiting image handling vulnerabilities in Nimbus.
    • Memory Leaks and Resource Exhaustion (Severity: Medium) - Detects and responds to DoS attacks or resource exhaustion related to Nimbus.
  • Impact:
    • Outdated and Unmaintained Library: Medium - Reduces the impact of vulnerabilities in Nimbus by enabling rapid detection and response.
    • Potential Network Security Issues: Medium - Reduces the impact of network attacks exploiting Nimbus by enabling rapid detection and response.
    • Image Handling Vulnerabilities: Medium - Reduces the impact of image handling exploits related to Nimbus by enabling rapid detection and response.
    • Memory Leaks and Resource Exhaustion: Medium - Reduces the impact of DoS attacks related to Nimbus by enabling rapid detection and response.
  • Currently Implemented: Partially implemented. General logging and monitoring might be in place, but specific enhancements for Nimbus usage tracking, SIEM integration for Nimbus logs, anomaly detection rules focused on Nimbus-related threats, and a dedicated incident response plan for Nimbus-related incidents are likely missing.
  • Missing Implementation: Enhanced logging and monitoring specifically for Nimbus actions, SIEM integration for Nimbus-related logs, anomaly detection rules tailored to Nimbus-related threats, and a dedicated incident response plan for Nimbus security incidents are missing.

Mitigation Strategy: Contingency Plan for Rapid Nimbus Replacement

Description: 1. Alternative Library Identification (Nimbus Replacement Options): Revisit and refine the list of alternative libraries identified for "Library Assessment and Alternatives." Ensure the list is current and includes well-vetted, actively maintained options that can replace Nimbus functionalities. 2. Proof-of-Concept Implementation (Nimbus Replacement): Develop a proof-of-concept implementation of replacing Nimbus with a chosen alternative library for critical functionalities. This validates the feasibility and estimates the effort required for a full Nimbus migration. 3. Migration Plan Documentation (Nimbus Removal): Document a detailed migration plan specifically for replacing Nimbus. Include step-by-step instructions for code refactoring to remove Nimbus, data migration (if applicable from Nimbus components), testing procedures for the replacement, and deployment strategies for a Nimbus-free application. 4. Resource Allocation (Nimbus Replacement Readiness): Allocate resources (development time, personnel) specifically for potential rapid Nimbus library replacement. Ensure the team is prepared and trained to execute the migration plan quickly if a critical Nimbus vulnerability is discovered. 5. Trigger Conditions (Nimbus Replacement Activation): Define clear trigger conditions that would initiate the rapid Nimbus library replacement process. Examples include discovery of a critical unpatchable vulnerability in Nimbus, a security advisory recommending immediate Nimbus removal, or a significant security incident related to Nimbus.

  • List of Threats Mitigated:
    • Outdated and Unmaintained Library (Severity: High) - Provides a crucial fallback plan for situations where vulnerabilities in Nimbus become critical and unpatchable, necessitating immediate removal.
  • Impact:
    • Outdated and Unmaintained Library: High - Significantly reduces long-term risk by enabling a swift and planned transition away from the vulnerable Nimbus library when necessary.
  • Currently Implemented: Not currently implemented. A contingency plan specifically for rapid Nimbus library replacement is likely not in place.
  • Missing Implementation: The entire contingency plan, including alternative library identification for Nimbus replacement, proof-of-concept implementation of Nimbus removal, migration plan documentation for Nimbus replacement, resource allocation for Nimbus migration, and trigger conditions for initiating Nimbus replacement, is missing.