
Worked on security and testing improvements across the awslabs/aws-crt-builder and awslabs/aws-crt-cpp repositories, focusing on hardening and compliance. In aws-crt-builder, addressed multipart form data boundary generation by introducing Node.js crypto-based randomness with a safe fallback to Math.random, reducing predictability and aligning with FIPS requirements. In aws-crt-cpp, updated the test suite to use the latest PQ_DEFAULT TLS cipher preferences, ensuring tests reflect current post-quantum security standards. Leveraged C++, JavaScript, and CI/CD practices to maintain code quality and security validation. The work emphasized targeted bug fixes and configuration updates rather than feature development during the period.
March 2025 (2025-03) – AWS CRT C++ Test Suite Security Alignment: Updated the test configuration to align TLS cipher preferences with the latest PQ_DEFAULT settings, reinforcing security standards and reducing test drift. This change focuses on post-quantum TLS cipher validation within the test suite and ensures ongoing compliance with updated security requirements.
March 2025 (2025-03) – AWS CRT C++ Test Suite Security Alignment: Updated the test configuration to align TLS cipher preferences with the latest PQ_DEFAULT settings, reinforcing security standards and reducing test drift. This change focuses on post-quantum TLS cipher validation within the test suite and ensures ongoing compliance with updated security requirements.
February 2025: Security hardening of multipart form data boundary generation in awslabs/aws-crt-builder, using Node.js crypto for randomness with a safe fallback to Math.random, and updating the aws-lc FIPS submodule reference in the check-submodules action. The change reduces boundary predictability, lowers attack surface, and maintains alignment with FIPS requirements for dependencies.
February 2025: Security hardening of multipart form data boundary generation in awslabs/aws-crt-builder, using Node.js crypto for randomness with a safe fallback to Math.random, and updating the aws-lc FIPS submodule reference in the check-submodules action. The change reduces boundary predictability, lowers attack surface, and maintains alignment with FIPS requirements for dependencies.

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