maxtac-dast-debugger

Integrate debuggers, instrumentation, and crash replay for binary dynamic analysis.

12|Updated Jun 1, 2026
One-click install
npx skills add https://github.com/philo-groves/MaxTAC --skill maxtac-dast-debugger
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: maxtac-dast-debugger
Source: https://github.com/philo-groves/MaxTAC/tree/main/plugins/maxtac-binary/skills/maxtac-dast-debugger
Command: npx skills add https://github.com/philo-groves/MaxTAC --skill maxtac-dast-debugger

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires lldb, gdb, x64dbg, windbg, frida, python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The maxtac-dast-debugger solves the problem of complex binary or systems dynamic analysis by providing a comprehensive set of tools and scripts to facilitate debugger, instrumentation, crash replay, and runtime tooling tasks.

Core Features & Use Cases

  • Debugging Tools Integration: Offers integration with various debugging tools like LLDB, GDB, x64dbg, WinDbg, and Frida.
  • Runtime Instrumentation: Supports runtime instrumentation, native hooks, and API tracing for in-depth analysis.
  • Crash Replay: Facilitates crash replay to analyze system failures and runtime errors.
  • Use Case: Ideal for reverse engineering binary systems, analyzing crashes, or debugging complex software issues.

Quick Start

Run the debug-evidence.py script to collect debugger and runtime instrumentation evidence. For example, initialize a debug evidence case with:

python3 <skill-dir>/scripts/debug-evidence.py init \
  --tool lldb \
  --version-command "lldb --version" \
  --target "local parser harness" \
  --target-version "1.2.3 build 456" \
  --target-file ./harness \
  --scope "authorized local test target" \
  --environment "local macOS test host" \
  --command-line "lldb -- ./harness crash.min"

Frequently Asked Questions about maxtac-dast-debugger

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform dynamic analysis on a binary to debug a crash?▼

Dynamic analysis on a binary is performed by integrating debuggers and crash replay tooling to inspect runtime behavior. You can initialize a debug evidence case using the debug-evidence.py script with LLDB or GDB to analyze system failures.

Can I use Frida for runtime instrumentation when reverse engineering binaries?▼

Frida is supported for runtime instrumentation, enabling native hooks and API tracing during binary reverse engineering. The integration allows you to attach to a target process and collect runtime evidence alongside other debuggers like x64dbg and WinDbg.

What do I need to set up before debugging a local parser harness?▼

Before debugging a local parser harness, you need to specify the debugger tool, target file, environment, and command-line arguments. The debug-evidence.py init command requires the tool version, target version, and execution scope to establish the analysis context.

Does this dynamic analysis approach work with both Windows and macOS binaries?▼

Dynamic analysis is supported on both Windows and macOS binaries through tool-specific integrations. WinDbg and x64dbg handle Windows targets, while LLDB facilitates debugging on macOS test hosts, allowing cross-platform crash replay and runtime instrumentation.

What is the best way to collect debugger and runtime instrumentation evidence together?▼

The best way to collect debugger and runtime instrumentation evidence is by running the debug-evidence.py script. It orchestrates various binary analysis tools to capture runtime hooks, API traces, and crash replay data into a unified evidence case for analysis.

Why use crash replay instead of standard static binary analysis?▼

Crash replay is used instead of static analysis to observe actual runtime errors and system failures dynamically. By replaying a crash scenario with debuggers like GDB or WinDbg, you can inspect the exact memory state and execution flow that led to the failure.