Vector35/binaryninja-api
Apr 2025 – Apr 2026
11 Months active
Languages Used
CC++MarkdownPythonRust
Technical Skills
API DevelopmentAPI IntegrationBinary AnalysisC++C++ DevelopmentCode Analysis
Brandon Miller
PROFILE
Brandon Miller
Worked extensively on the Vector35/binaryninja-api repository, delivering features and stability improvements across binary analysis, architecture plugin extensibility, and cross-language API integration. Leveraged C++, Python, and Rust to enhance disassembly accuracy, implement robust intermediate language handling, and expand support for complex architectures such as MIPS and Hexagon. Addressed memory safety, improved plugin development workflows, and introduced mechanisms for function lifting and guided analysis. Focused on API design and error handling, the work enabled more reliable cross-platform analysis, reduced crash risk, and improved onboarding for plugin developers, resulting in a more stable and extensible binary analysis ecosystem for end users.
Overall Statistics
Feature vs Bugs
52%Features
Repository Contributions
43Total
Bugs
15
Commits
43
Features
16
Lines of code
6,394
Activity Months11
Your Network
60 peopleShared Repositories
44
Work History
April 2026
2 Commits
Apr 1, 2026In April 2026, focused on stabilizing architecture hooks in Vector35/binaryninja-api. Implemented fixes to ILFlag operand handling and basic block references, eliminating crashes and runtime errors in both Python and native architecture hooks, improving reliability for plugins and automated tooling. Result: reduced incidents and smoother user experiences, enabling broader adoption of architecture hooks.
2 Commits
Apr 1, 2026In April 2026, focused on stabilizing architecture hooks in Vector35/binaryninja-api. Implemented fixes to ILFlag operand handling and basic block references, eliminating crashes and runtime errors in both Python and native architecture hooks, improving reliability for plugins and automated tooling. Result: reduced incidents and smoother user experiences, enabling broader adoption of architecture hooks.
April 2026
February 2026
3 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for Vector35/binaryninja-api: Delivered a bug fix to uninitialized data handling and analysis context in architecture analysis, and introduced a cross-pipeline context sharing feature to pass analysis context through BB recovery, lifting, and rendering. These changes improve reliability, data consistency, and Python API usability, resulting in more accurate disassembly and faster debugging.
February 2026
3 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for Vector35/binaryninja-api: Delivered a bug fix to uninitialized data handling and analysis context in architecture analysis, and introduced a cross-pipeline context sharing feature to pass analysis context through BB recovery, lifting, and rendering. These changes improve reliability, data consistency, and Python API usability, resulting in more accurate disassembly and faster debugging.
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for Vector35/binaryninja-api. Focused delivery and stability improvements across architecture plugin capabilities and cross-platform support. Key outcomes include: - Expanded architecture plugin lifting: introduced a mechanism for architecture plugins to lift entire functions by iterating through basic blocks, enabling accurate handling of delay-slot architectures like TMS320 C6x. - Stability enhancements for function lifters: fixed a Python exception in FunctionLifterContext caused by incorrect access to indirect branch destinations, improving reliability for auto-defined indirect branches. - Cross-platform ILP32 improvements: refined ILP32 PLT detection and enforced a 4-byte ELF address size for linux-x32 and linux-ilp32 targets to ensure compatibility across ELF versions. Business value: - Enables broader architecture coverage with lower maintenance, reducing manual work for complex instruction timing models and increasing analysis accuracy. - Increases runtime stability and crash resilience for users working with non-standard architectures and ILP32 binaries. - Improves compatibility across platforms, reducing user friction when analyzing legacy 32-bit binaries. Technologies/skills demonstrated: - Architecture plugin extensibility and function lifting strategies - Python-based lifter stability and error handling - ELF addressing, PLT detection, and ILP32 compatibility tactics - Cross-platform binary analysis design and implementation
4 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for Vector35/binaryninja-api. Focused delivery and stability improvements across architecture plugin capabilities and cross-platform support. Key outcomes include: - Expanded architecture plugin lifting: introduced a mechanism for architecture plugins to lift entire functions by iterating through basic blocks, enabling accurate handling of delay-slot architectures like TMS320 C6x. - Stability enhancements for function lifters: fixed a Python exception in FunctionLifterContext caused by incorrect access to indirect branch destinations, improving reliability for auto-defined indirect branches. - Cross-platform ILP32 improvements: refined ILP32 PLT detection and enforced a 4-byte ELF address size for linux-x32 and linux-ilp32 targets to ensure compatibility across ELF versions. Business value: - Enables broader architecture coverage with lower maintenance, reducing manual work for complex instruction timing models and increasing analysis accuracy. - Increases runtime stability and crash resilience for users working with non-standard architectures and ILP32 binaries. - Improves compatibility across platforms, reducing user friction when analyzing legacy 32-bit binaries. Technologies/skills demonstrated: - Architecture plugin extensibility and function lifting strategies - Python-based lifter stability and error handling - ELF addressing, PLT detection, and ILP32 compatibility tactics - Cross-platform binary analysis design and implementation
January 2026
December 2025
1 Commits
Dec 1, 2025December 2025: Delivered a targeted MIPS backend fix in Vector35/binaryninja-api to improve branch resolution accuracy. Removed the default branch type for jalr, addressing incorrect handling and improving CFG precision for MIPS analysis. Commit: 5d7877b807e45c6b58e6beb73ea11d7fe7f4467f. Impact: more reliable MIPS analysis with fewer misclassified branches, contributing to higher quality disassembly and CFGs. Technologies/skills demonstrated: C++, architecture-level debugging, regression testing, and thorough code review in a live project setting.
December 2025
1 Commits
Dec 1, 2025December 2025: Delivered a targeted MIPS backend fix in Vector35/binaryninja-api to improve branch resolution accuracy. Removed the default branch type for jalr, addressing incorrect handling and improving CFG precision for MIPS analysis. Commit: 5d7877b807e45c6b58e6beb73ea11d7fe7f4467f. Impact: more reliable MIPS analysis with fewer misclassified branches, contributing to higher quality disassembly and CFGs. Technologies/skills demonstrated: C++, architecture-level debugging, regression testing, and thorough code review in a live project setting.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered cross-language API enhancement for the max_size_reached flag in BasicBlockAnalysisContext across Python, Rust, and the C++ core. Enabled external control of the flag during analysis and ensured updates propagate to the C++ core, improving correctness and external tooling integration.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered cross-language API enhancement for the max_size_reached flag in BasicBlockAnalysisContext across Python, Rust, and the C++ core. Enabled external control of the flag during analysis and ensured updates propagate to the C++ core, improving correctness and external tooling integration.
October 2025
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 (Vector35/binaryninja-api) delivered substantial low-level IL improvements, new guided-analysis capabilities, and targeted platform safety fixes, strengthening stability, developer experience, and business value. Key outcomes include more robust undefined-value handling in LLIL, a Rust-based guided analysis API foundation, and platform-specific safety updates for Hexagon and the LLVM MC disassembler bindings. These changes reduce crash risk, enable advanced analysis workflows, and broaden API coverage for custom tooling.
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 (Vector35/binaryninja-api) delivered substantial low-level IL improvements, new guided-analysis capabilities, and targeted platform safety fixes, strengthening stability, developer experience, and business value. Key outcomes include more robust undefined-value handling in LLIL, a Rust-based guided analysis API foundation, and platform-specific safety updates for Hexagon and the LLVM MC disassembler bindings. These changes reduce crash risk, enable advanced analysis workflows, and broaden API coverage for custom tooling.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focusing on delivering high-value features and stabilizing architecture-specific behavior in the Binary Ninja API. This period emphasized cross-language support for new disassembly tokens and reliable Hexagon binary handling to improve accuracy and developer productivity.
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focusing on delivering high-value features and stabilizing architecture-specific behavior in the Binary Ninja API. This period emphasized cross-language support for new disassembly tokens and reliable Hexagon binary handling to improve accuracy and developer productivity.
August 2025
July 2025
5 Commits • 2 Features
Jul 1, 2025July 2025 (Vector35/binaryninja-api) monthly summary: Delivered Python bindings for custom basic block analysis with a refactor of BasicBlockAnalysisContext to enable granular, script-driven analysis from Python. Published EFI Resolver feature documentation detailing capabilities, workflow re-run steps, and configuration of EFI protocol GUIDs and types. Fixed key stability issues: ABB memory safety/heap corruption addressed by refactoring platform objects to use smart pointers; MIPS relocation crash resolved by dynamically determining architecture version based on address size and checks; FirmwareNinja relationship querying memory leak fixed with a dedicated free function and ABI updates to ensure safe cross-language usage. Overall impact includes stronger reliability, improved scripting capabilities for automation, and clearer API/docs, contributing to faster integration and safer cross-language development.
July 2025
5 Commits • 2 Features
Jul 1, 2025July 2025 (Vector35/binaryninja-api) monthly summary: Delivered Python bindings for custom basic block analysis with a refactor of BasicBlockAnalysisContext to enable granular, script-driven analysis from Python. Published EFI Resolver feature documentation detailing capabilities, workflow re-run steps, and configuration of EFI protocol GUIDs and types. Fixed key stability issues: ABB memory safety/heap corruption addressed by refactoring platform objects to use smart pointers; MIPS relocation crash resolved by dynamically determining architecture version based on address size and checks; FirmwareNinja relationship querying memory leak fixed with a dedicated free function and ABI updates to ensure safe cross-language usage. Overall impact includes stronger reliability, improved scripting capabilities for automation, and clearer API/docs, contributing to faster integration and safer cross-language development.
June 2025
4 Commits
Jun 1, 2025June 2025 monthly summary for Vector35/binaryninja-api. Delivered a focused IL API robustness and None-safety initiative across all Binary Ninja IL representations (llil/mlil/hlil). This work improved stability, reduced crashes, and enhanced developer experience for plugins and tooling that rely on IL data.
4 Commits
Jun 1, 2025June 2025 monthly summary for Vector35/binaryninja-api. Delivered a focused IL API robustness and None-safety initiative across all Binary Ninja IL representations (llil/mlil/hlil). This work improved stability, reduced crashes, and enhanced developer experience for plugins and tooling that rely on IL data.
June 2025
May 2025
5 Commits • 4 Features
May 1, 2025May 2025: Delivered feature-rich improvements and a targeted fix set for the Binary Ninja API, focusing on integration, metadata, analysis plumbing, and platform support, delivering measurable business value through improved workflow orchestration and decompiler accuracy.
May 2025
5 Commits • 4 Features
May 1, 2025May 2025: Delivered feature-rich improvements and a targeted fix set for the Binary Ninja API, focusing on integration, metadata, analysis plumbing, and platform support, delivering measurable business value through improved workflow orchestration and decompiler accuracy.
April 2025
11 Commits • 3 Features
Apr 1, 2025April 2025: Focused on reliability, ecosystem compatibility, and business value for Vector35/binaryninja-api. Delivered user-centric improvements to loader behavior, expanded developer documentation, hardened IL/pseudocode robustness, refined x86 lifting for cleaner disassembly, and introduced a plugin-friendly architecture for block analysis, alongside API compatibility updates. These efforts reduce misanalysis risk, accelerate onboarding for customers and plugin developers, and improve confidence in automated binary analysis workflows.
11 Commits • 3 Features
Apr 1, 2025April 2025: Focused on reliability, ecosystem compatibility, and business value for Vector35/binaryninja-api. Delivered user-centric improvements to loader behavior, expanded developer documentation, hardened IL/pseudocode robustness, refined x86 lifting for cleaner disassembly, and introduced a plugin-friendly architecture for block analysis, alongside API compatibility updates. These efforts reduce misanalysis risk, accelerate onboarding for customers and plugin developers, and improve confidence in automated binary analysis workflows.
April 2025
Activity
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Quality Metrics
Correctness92.8%
Maintainability89.8%
Architecture89.8%
Performance85.0%
AI Usage21.0%
Skills & Technologies
Programming Languages
CC++MarkdownPythonRust
Technical Skills
API DevelopmentAPI IntegrationAPI designAPI developmentArchitecture DesignBinary AnalysisC++C++ DevelopmentC++ developmentCode AnalysisCompiler DevelopmentCross-language BindingsData ManagementDecompilationDisassembler
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