Skip to content

Latest commit

 

History

History
146 lines (127 loc) · 12.5 KB

mitigations.md

File metadata and controls

146 lines (127 loc) · 12.5 KB

Mitigation Strategies Analysis for academysoftwarefoundation/openvdb

Mitigation Strategy: VDB File Schema Validation

Description:

  1. Define a strict schema for the expected structure of VDB files processed by the application. This schema should specify allowed node types, attributes, data types, and hierarchical organization.
  2. Implement a validation process that parses incoming VDB files and compares their structure against the defined schema. This validation should occur before further processing of the VDB data.
  3. Reject VDB files that do not conform to the schema and log validation failures for security monitoring and debugging. List of Threats Mitigated:
  • Malformed VDB File Parsing Errors: Severity: Medium
  • Exploitation of Parser Vulnerabilities through Unexpected File Structure: Severity: High
  • Denial of Service (DoS) via Complex or Deeply Nested VDB Files: Severity: Medium Impact:
  • Malformed VDB File Parsing Errors: High Risk Reduction
  • Exploitation of Parser Vulnerabilities through Unexpected File Structure: High Risk Reduction
  • Denial of Service (DoS) via Complex or Deeply Nested VDB Files: Medium Risk Reduction Currently Implemented: No - Schema validation is not currently implemented for VDB files. Missing Implementation: Input processing module, specifically during VDB file loading and parsing. Needs to be integrated before the application logic uses the VDB data.

Mitigation Strategy: VDB Data Range Checks

Description:

  1. Identify critical data attributes within VDB grids that are used in calculations or application logic.
  2. Determine valid and acceptable ranges for these data attributes based on application requirements and domain knowledge.
  3. Implement checks to validate that the values of these critical data attributes within loaded VDB grids fall within the defined valid ranges. Perform these checks after parsing and before using the data.
  4. Handle out-of-range values appropriately, such as rejecting the VDB file, clamping values, or skipping processing of affected grids, while logging warnings. List of Threats Mitigated:
  • Integer Overflow/Underflow Exploits: Severity: High
  • Unexpected Application Behavior due to Invalid Data: Severity: Medium
  • Potential for Logic Errors leading to Security Vulnerabilities: Severity: Medium Impact:
  • Integer Overflow/Underflow Exploits: High Risk Reduction
  • Unexpected Application Behavior due to Invalid Data: Medium Risk Reduction
  • Potential for Logic Errors leading to Security Vulnerabilities: Medium Risk Reduction Currently Implemented: Partial - Basic range checks exist for some core attributes, but not comprehensively across all VDB data, especially user-provided data. Missing Implementation: Needs to be expanded to cover all relevant data attributes in VDB grids, particularly those derived from external sources. Integrate into the input validation module.

Mitigation Strategy: VDB File Size Limits

Description:

  1. Define reasonable maximum file size limits for VDB files that the application will process, based on available system resources and expected use cases.
  2. Implement a check at the file loading stage to ensure that the VDB file size does not exceed the defined limit.
  3. Reject files exceeding the size limit and provide informative error messages. Log rejected file attempts for monitoring. List of Threats Mitigated:
  • Denial of Service (DoS) via Large VDB File Uploads: Severity: Medium
  • Resource Exhaustion (Memory, Disk Space) due to Large VDB Files: Severity: Medium Impact:
  • Denial of Service (DoS) via Large VDB File Uploads: Medium Risk Reduction
  • Resource Exhaustion (Memory, Disk Space) due to Large VDB Files: Medium Risk Reduction Currently Implemented: Yes - File size limits are implemented in the web application frontend for file uploads. Missing Implementation: Enforce file size limits at the backend processing stage as a secondary check, especially if VDB files are processed from sources other than the web frontend.

Mitigation Strategy: Regular OpenVDB Updates

Description:

  1. Establish a process for regularly checking for and applying updates to the OpenVDB library to ensure you are using the latest stable and patched version.
  2. Subscribe to security advisories and release notes for OpenVDB to be informed of any reported vulnerabilities and available patches.
  3. Schedule regular updates as part of the development and maintenance cycle.
  4. Thoroughly test updates in a staging environment before deploying to production to ensure compatibility and stability. List of Threats Mitigated:
  • Exploitation of Known Vulnerabilities in OpenVDB Library: Severity: High Impact:
  • Exploitation of Known Vulnerabilities in OpenVDB Library: High Risk Reduction Currently Implemented: Partial - Dependency management is in place, but proactive and regular OpenVDB updates are not consistently scheduled. Missing Implementation: Formalize a process for regular OpenVDB updates and integrate vulnerability monitoring for OpenVDB into the CI/CD pipeline.

Mitigation Strategy: Memory Allocation Limits for VDB Processing

Description:

  1. Implement limits on the maximum amount of memory that can be allocated during VDB grid processing to prevent excessive memory consumption.
  2. Monitor memory usage during VDB processing. If memory consumption approaches or exceeds predefined limits, implement error handling to gracefully terminate processing and prevent system instability.
  3. Log memory limit breaches for monitoring and potential incident response. List of Threats Mitigated:
  • Denial of Service (DoS) via Memory Exhaustion during VDB Processing: Severity: High
  • System Instability due to Excessive Memory Usage by OpenVDB: Severity: Medium Impact:
  • Denial of Service (DoS) via Memory Exhaustion during VDB Processing: High Risk Reduction
  • System Instability due to Excessive Memory Usage by OpenVDB: Medium Risk Reduction Currently Implemented: No - Explicit memory allocation limits specifically for VDB processing are not currently implemented. Missing Implementation: Needs to be implemented within the VDB processing module, potentially using resource limits or custom memory management within the application.

Mitigation Strategy: VDB Grid Size Limits (Bounding Box and Resolution)

Description:

  1. Define reasonable maximum limits for the bounding box size and resolution of VDB grids that the application will process, based on application needs and resource constraints.
  2. Implement checks after parsing a VDB file to verify that the grid's bounding box and resolution are within the defined limits.
  3. Reject VDB files that exceed these grid size limits and log the rejection. Provide informative error messages if applicable. List of Threats Mitigated:
  • Denial of Service (DoS) via Processing of Extremely Large VDB Grids: Severity: Medium
  • Memory Exhaustion due to Large VDB Grid Data: Severity: High
  • Performance Degradation due to Processing Overly Complex VDB Grids: Severity: Medium Impact:
  • Denial of Service (DoS) via Processing of Extremely Large VDB Grids: Medium Risk Reduction
  • Memory Exhaustion due to Large VDB Grid Data: High Risk Reduction
  • Performance Degradation due to Processing Overly Complex VDB Grids: Medium Risk Reduction Currently Implemented: No - Grid size limits are not explicitly checked after VDB parsing. Missing Implementation: Needs to be implemented in the input validation module, after VDB file parsing but before further processing of the grid data.

Mitigation Strategy: Safe OpenVDB API Usage and Secure Coding Practices

Description:

  1. Educate developers on secure coding practices specific to the OpenVDB API. This includes understanding API documentation, proper error handling for API calls, boundary checks, and avoiding assumptions about VDB data validity.
  2. Conduct code reviews to ensure adherence to secure coding practices and correct OpenVDB API usage.
  3. Utilize static analysis tools to identify potential security vulnerabilities or insecure API usage patterns related to OpenVDB in the codebase. List of Threats Mitigated:
  • Vulnerabilities introduced through improper use of OpenVDB API functions: Severity: Medium to High (depending on the specific vulnerability)
  • Logic Errors in VDB processing leading to Security Vulnerabilities: Severity: Medium Impact:
  • Vulnerabilities introduced through improper use of OpenVDB API functions: Medium to High Risk Reduction
  • Logic Errors in VDB processing leading to Security Vulnerabilities: Medium Risk Reduction Currently Implemented: Partial - Code reviews are conducted, but specific focus on OpenVDB API security best practices is not consistently enforced. Developer training on OpenVDB security is lacking. Missing Implementation: Formalize secure coding guidelines for OpenVDB usage, provide developer training on secure OpenVDB API usage, and integrate static analysis tools configured for OpenVDB-specific security checks.

Mitigation Strategy: Robust Error Handling and Security Logging for VDB Operations

Description:

  1. Implement comprehensive error handling specifically for all OpenVDB operations, including file parsing, grid processing, and API calls.
  2. Gracefully handle errors and exceptions without crashing the application or revealing sensitive information in error messages related to OpenVDB processing.
  3. Implement security logging to record relevant events specifically related to OpenVDB processing, such as parsing errors, validation failures, resource limit breaches, and API call errors.
  4. Ensure logs are stored securely and are regularly reviewed for security monitoring and incident response related to VDB operations. List of Threats Mitigated:
  • Information Disclosure through Verbose Error Messages during VDB Processing: Severity: Low
  • Lack of Visibility into Security-Relevant Events during VDB Operations: Severity: Medium
  • Difficulty in Incident Response and Forensics related to VDB Security Issues: Severity: Medium Impact:
  • Information Disclosure through Verbose Error Messages during VDB Processing: Low Risk Reduction
  • Lack of Visibility into Security-Relevant Events during VDB Operations: Medium Risk Reduction
  • Difficulty in Incident Response and Forensics related to VDB Security Issues: Medium Risk Reduction Currently Implemented: Partial - Error handling exists, but security logging specifically for VDB operations is not comprehensive. Missing Implementation: Enhance error handling in VDB processing modules to be more robust and implement dedicated security logging specifically for VDB-related events. Integrate logs into a centralized logging system for monitoring VDB security events.

Mitigation Strategy: Process Isolation or Sandboxing for VDB Processing

Description:

  1. Isolate the VDB processing component of the application into a separate process or sandbox environment to limit the potential impact of vulnerabilities.
  2. Use operating system-level process isolation mechanisms or containerization technologies to restrict the access and privileges of the VDB processing component.
  3. Minimize communication channels between the isolated VDB processing component and the main application, using secure IPC mechanisms if needed. List of Threats Mitigated:
  • Containment of Exploits within the VDB Processing Component: Severity: High
  • Reduced Impact of Vulnerabilities in OpenVDB Library on the Main Application: Severity: High Impact:
  • Containment of Exploits within the VDB Processing Component: High Risk Reduction
  • Reduced Impact of Vulnerabilities in OpenVDB Library on the Main Application: High Risk Reduction Currently Implemented: No - VDB processing is currently performed within the main application process. Missing Implementation: Requires architectural changes to refactor the application and isolate the VDB processing functionality. Containerization is a potential option to explore for isolating VDB processing.