Reverse Engineering Tools & Techniques

Overview

This skill covers evidence-driven analysis of game clients, protection modules, drivers, and memory artifacts. Use static and observed behavior to reconstruct interfaces and trust boundaries, while documenting how protection, obfuscation, or instrumentation limits the conclusions.

Treat performance, stealth, coverage, and compatibility claims as target/version-specific. Record the binary hash, tool version, configuration, environment, and observed evidence; use research-rigor for consequential conclusions.

Binary Evidence and Attack-Surface Findings

For native Linux or Proton context, first use linux-platform-security. For diagnostic reports from owned test builds, use robustness and triage.

Preserve the sample hash, provenance, architecture, image layout, tool version, analysis configuration, and symbol identity. Keep file offsets, RVAs, and runtime addresses distinct, including relocation assumptions in disk/memory comparisons. Match symbols to the actual binary; public and private symbol sets offer different information. PE format, Symbols and symbol files

Decompiler output is a reconstruction. Validate inferred types, names, prototypes, and function boundaries against instructions, ABI constraints, and available observations. Ghidra's instruction semantics and p-code model are useful for understanding why displayed C is not recovered source. Ghidra language documentation, Ghidra analysis guide

Classify the question before selecting an analysis mode:

Report supporting addresses/artifacts and explain each inference. An imported API, reachable path, and observed call are distinct findings. Preserve missing symbols, incomplete dumps, generated code, and unexecuted paths as limitations. Sources in this section were reviewed on 2026-09-09.

Repository Resource Selection

Choose resources by artifact and evidence need: binary interpretation, bounded debugger observations, build comparison, or offline dump parsing. Read repository resources when selecting a project or locating the matching README family.

Debugging Tools

Windows Debuggers

• Cheat Engine: Memory scanner and debugger for games
• x64dbg: Open-source x86/x64 debugger
• WinDbg: Microsoft's kernel/user-mode debugger
• ReClass.NET: Memory structure reconstruction
• HyperDbg: Hypervisor-based debugger

Specialized Debuggers

• CE Mono Helper: Unity/Mono game debugging
• dnSpy: .NET assembly debugger/decompiler
• ILSpy: .NET decompiler
• frida: Dynamic instrumentation toolkit

Platform-Specific

• edb-debugger: Linux debugger
• PINCE: Linux game hacking tool
• H5GG: iOS cheat engine
• Hardware Breakpoint Tools: HWBP implementations

Disassembly & Decompilation

Multi-Platform

• IDA Pro: Industry standard disassembler
• Ghidra: NSA's reverse engineering framework
• Binary Ninja: Modern RE platform
• Cutter: Radare2 GUI

Specialized Tools

• IL2CPP Dumper: Unity IL2CPP analysis
• dnSpy: .NET/Unity decompilation
• jadx: Android DEX decompiler
• Recaf: Java bytecode editor

Memory Analysis

Memory Scanners

- Cheat Engine: Pattern scanning, value searching
- ReClass.NET: Structure reconstruction
- Process Hacker: System analysis

Dump Tools

- KsDumper: Kernel-space process dumping
- PE-bear: PE file analysis
- ImHex: Hex editor for RE

Dynamic Binary Instrumentation (DBI)

Frameworks

• Frida: Cross-platform DBI
• DynamoRIO: Runtime code manipulation
• Pin: Intel's DBI framework
• TinyInst: Lightweight instrumentation
• QBDI: QuarkslaB DBI

Use Cases

1. API hooking and tracing
2. Code coverage analysis
3. Fuzzing harness creation
4. Behavioral analysis
5. Driver IOCTL and callback tracing

Exception-Driven Instrumentation: Evidence Limits

Exception-driven instrumentation observes selected execution points while changing some combination of code, memory permissions, exception handling, state or timing. Treat the resulting trace as an observation under those conditions. A static control-flow graph or a smaller modification footprint does not establish a universally safer or more complete strategy.

For owned test programs, assess:

• Semantic fidelity: expected registers, memory effects, error handling, synchronization and program results remain consistent with an uninstrumented baseline under the supported conditions.
• Coverage: define the measured unit (instruction, block, edge or function), denominator, input set, thread scope and missing intervals. An observed edge does not establish every feasible path, and a page event is not an instruction trace.
• Observation cost: report runtime overhead, exception volume, termination, instability and changes in scheduling; distinguish application defects from collection artifacts.
• Scope: identify unsupported instructions, generated code, external calls and collector limitations before transferring results across versions.

DynamoRIO's transparency documentation explains state, resource, synchronization and timing concerns for its own clients. It supports these review dimensions; it does not validate the ad hoc exception instrumentation previously described here. Sources reviewed: 2026-09-09.

Control Flow Tracing (CFT) Applications

- Runtime call graph generation with register context at each edge
- Divergence testing: compare traces across different inputs/environments
  → Quickly locates input validation, anti-debug, anti-tamper trigger points
- Deobfuscation: resolve indirect branches observed under covered executions;
  completeness requires additional path exploration or proof
- Hot path analysis, branch coverage measurement
- Report measured tracing overhead for the exact workload, collector and
  environment; preserve timeouts and observation-induced failures
- Portable to other architectures: ARM (UDF), RISC-V (illegal instruction)

User-Mode Hypervisor-Assisted Analysis

A user-mode application can manage guest partitions and virtual processors through Windows Hypervisor Platform, backed by the Windows hypervisor. This is not the same as running the hypervisor inside that process, forcing all guest code to execute in user mode, or gaining arbitrary control of the running host kernel. Microsoft WHP API

For an existing analysis trace, record host/guest boundaries, guest execution state, modeled memory/devices, enabled capabilities and the actual exit reason. A page-access exit can support a finding about that access under the configured policy; it does not provide complete instruction or edge coverage. The documented exit enumeration has no generic syscall exit: do not assume every guest system call automatically transfers control to the analysis application. Microsoft exit contexts

Match OS/SDK/architecture and nested-environment support to the particular API and tool. Use the Windows WHP contract for version and capability details. Preserve unmodeled scheduler, device, timing and concurrency effects, along with unsupported instructions and missing trace intervals. Review semantic fidelity against an owned baseline before drawing conclusions from a modeled execution. Sources reviewed: 2026-09-09.

Anti-Analysis Bypass

Techniques

• Anti-debug detection bypass
• VM/Sandbox evasion
• Timing attack mitigation
• PatchGuard circumvention

Tools

• TitanHide: Anti-debug hiding
• HyperHide: Hypervisor-based hiding
• ScyllaHide: Anti-anti-debug plugin

Game-Specific Analysis

Unity Games

1. Locate GameAssembly.dll (IL2CPP) or managed DLLs
2. Use IL2CPP Dumper for structure recovery
3. Apply dnSpy for Mono games
4. Hook via Unity-specific frameworks

Unreal Engine Games

1. Identify UE version from signatures
2. Use SDK generators (Dumper-7)
3. Analyze Blueprint bytecode
4. Hook UObject/UFunction systems

Native Games

1. Standard PE analysis
2. Import/export reconstruction
3. Pattern scanning for signatures
4. Runtime memory analysis

Workflow Best Practices

Initial Analysis

1. Identify protections (packer, obfuscator, anti-cheat)
2. Determine game engine and version
3. Collect symbol information if available
4. Map out key modules, callbacks, and trust boundaries

Deep Analysis

1. Locate target functionality
2. Trace execution flow
3. Document structures, memory artifacts, and relationships
4. Correlate IOCTLs, callbacks, and runtime checks

Obfuscation Taxonomy

Mixed Boolean-Arithmetic (MBA)

- Linear MBA: e.g., x + y = (x ^ y) + 2*(x & y)
- Polynomial MBA: higher-degree expressions over boolean/arithmetic mix
- Tools: SSPAM, MBA-Blast, SiMBA for simplification
- Common in: VMProtect, Themida, custom LLVM passes

Control Flow Flattening (CFF)

- OLLVM-style: many protected basic blocks routed through a dispatcher loop
- Recovery: symbolic execution, pattern matching, deobfuscation passes
- Tools: D-810 (IDA), de-ollvm scripts, SATURN
- Variants: nested dispatchers, encrypted state variables

Opaque Predicates

- Invariant conditions injected to confuse static analysis
- Number-theoretic (x² mod 4 ∈ {0,1}), pointer-aliasing based
- Detection: abstract interpretation, SMT solvers (Z3)

Virtualization-Based Obfuscation

VMProtect / Themida / Code Virtualizer:
- Custom bytecode VM with randomized opcode set per build
- Handler table dispatch loop: fetch → decode → execute
- Devirtualization approaches:
  - Trace-based: record handler execution, lift to IR
  - Pattern-based: identify handler semantics by structure
  - Symbolic: concolic execution through VM dispatch
- Tools: VMPAttack, NoVmp, Oreans UnVirtualizer, vtil

Binary Lifting

- Lift machine code to compiler IR (LLVM IR, VEX, ESIL)
- Enables compiler-level optimization passes for deobfuscation
- Tools: McSema, remill, RetDec, Binary Ninja MLIL/HLIL

Disassembler Plugin Ecosystem

IDA Pro Plugins

Categories found in README (> IDA Plugins, 150+ entries):
- Decompiler enhancers: HexRaysPyTools, HRDevHelper
- Type recovery: ClassInformer, auto_struct
- Signature: FLIRT, Lumina, IDA Signature Database
- Scripting: IDAPython, IDC, LazyIDA
- Visualization: IDAGraph, Lighthouse (coverage)
- Anti-obfuscation: D-810 (MBA), de-ollvm, Patfinder
- Game-specific: SDK loaders, structure importers

Binary Ninja Plugins

- Sidekick, snippets, type libraries
- HLIL-based analysis scripts
- Custom architectures and loaders
- Headless analysis for batch processing

Ghidra Plugins

- GhidraScript (Java/Python), Ghidra extensions
- Ghidraaas (Ghidra-as-a-Service)
- Type importers, signature matchers
- Firmware analysis (SVD loader, embedded)

Radare2 / iaito Plugins

- r2pipe scripting (Python, JS, Rust)
- iaito: official radare2 Qt GUI
- r2ghidra: Ghidra decompiler integration
- r2dec: lightweight decompiler

WinDbg Plugins

- SwishDbgExt, WinDbgX
- Time Travel Debugging (TTD) extensions
- !analyze extensions, custom formatters
- Kernel debugging helpers

x64dbg Plugins

- ScyllaHide (anti-anti-debug)
- TitanEngine, x64dbgpy
- Trace plugins, pattern scanners
- Conditional breakpoint scripts

Cheat Engine Plugins

- Mono/IL2CPP helpers
- Auto-assembler templates
- Structure dissectors
- Pointer scanner extensions

MCP-Based RE Tools

The README's MCP server section and RE tool ecosystem now include
AI-assisted reverse engineering through Model Context Protocol:

- IDA MCP: AI agent controls IDA Pro (rename, annotate, navigate)
- Ghidra MCP: AI agent queries Ghidra decompilation and PCODE
- Binary Ninja MCP: AI agent interacts with Binary Ninja API
- radare2 MCP: AI agent drives r2 sessions via r2pipe
- x64dbg MCP: AI agent controls live debugging sessions

Workflow: LLM ↔ MCP server ↔ RE tool, enabling natural-language
queries like "find all functions calling CreateRemoteThread" or
"rename this function based on its decompiled logic"

Binary Diffing

Tools for comparing binary versions (patch analysis, vulnerability research):
- BinDiff (Google): graph-based structural comparison
- Diaphora: IDA-based program comparison; matching quality requires validation
- ghidriff: Ghidra-based diffing, command-line and scriptable
- DarunGrim: patch analysis focused differ
- turbodiff: lightweight IDA diffing plugin

Use cases in game security:
- Tracking anti-cheat driver updates between versions
- Reviewing changed behavior and trust-boundary assumptions in supplied builds
- Comparing obfuscated builds to isolate logic changes

Diaphora's maintainer documentation describes an IDA-based diffing tool; a comparative quality ranking requires a specified benchmark and independently checked matches. Preserve tool/IDA versions, both input hashes, architecture, compiler/optimization changes and unmatched functions. Similarity scores and decompiled differences are candidate evidence; corroborate a claimed semantic change before assigning security impact. Source reviewed: 2026-09-09.

Anti-Debug Techniques Catalog

User-Mode Anti-Debug

- IsDebuggerPresent / CheckRemoteDebuggerPresent
- NtQueryInformationProcess (ProcessDebugPort, ProcessDebugFlags, ProcessDebugObjectHandle)
- NtSetInformationThread (ThreadHideFromDebugger)
- PEB.BeingDebugged, PEB.NtGlobalFlag, heap flags
- INT 2D, INT 3 scanning, OutputDebugString tricks
- Timing checks: rdtsc, QueryPerformanceCounter, GetTickCount64
- TLS callbacks for early detection
- Exception-based: unhandled exception filter, VEH chain inspection
- Parent process checks (csrss.exe verification)
- Self-debugging: NtCreateDebugObject

Kernel-Mode Anti-Debug

- KdDebuggerEnabled / KdDebuggerNotPresent
- Debug register (DR0-DR7) monitoring and clearing
- KPROCESS.DebugPort zeroing
- NMI callbacks for debugger detection
- Hardware breakpoint detection via context inspection

Anti-Debug Bypass Tools

- ScyllaHide: comprehensive anti-anti-debug (x64dbg/IDA/standalone)
- TitanHide: kernel-mode debugger hiding
- HyperHide: hypervisor-based anti-debug bypass
- SharpOD: OllyDbg anti-anti-debug plugin

VMProtect/Themida Analysis

Resources

• Devirtualization tools
• Control flow recovery
• Handler analysis techniques
• Unpacking methodologies

ROP/Exploit Development

Tools

• ROPgadget: Gadget finder
• rp++: Fast ROP gadget finder
• angrop: Automated ROP chain generation

Repository Navigation

Load repository resources for this domain's resource choices and evidence outputs. Use shared repository navigation for local discovery layers, case-sensitive paths, missing snapshots and current upstream verification. Generated summaries are discovery aids, not independent evidence.

The compiled reverse-engineering overview can help locate related material; trace consequential claims to their underlying source.

Data Source

Use the following repository sources directly when applying this skill. Prefer available local files for discovery and scoped historical inspection; use the raw URLs when the collection is not installed locally. These entrypoint details are retained here so source lookup does not depend on loading another skill.

0. Compiled Wiki

Start with wiki/index.md for topical synthesis and cross-project connections. Wiki schema describes its structure. Generated wiki pages are discovery aids; follow their original citations before adopting technical claims.

Raw catalog: wiki/index.md. For this domain, read wiki/overviews/reverse-engineering.md. Raw URL: reverse-engineering overview.

A direct project question can start with its README entry or description below; reading the entire wiki is unnecessary.

1. Project Overview and Resource Index

README.md contains the collection's actual categories, subcategories, project URLs and short descriptions. Find the relevant category and retain the original URL, including any specific file or revision suffix.

Raw index: README.md.

2. Repository Descriptions

For a concise project summary, look for the actual local path:

description/{owner}/{repo}/description_en.txt
https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/description/{owner}/{repo}/description_en.txt

Example: bgfx description. Extract owner/repository from the original GitHub project URL, omitting a .git suffix. Resolve existing path casing before constructing a local/raw path. Descriptions are generated summaries, not independent verification. If absent or inaccessible, use the README entry, relevant archive or original project.

3. Repository Source Archives

For deeper inspection of an available captured source tree, locate:

archive/{owner}/{repo}.txt
https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/archive/{owner}/{repo}.txt

Example: bgfx archive. Prefer inspecting the relevant portion of an existing archive over re-cloning merely to inspect the same captured material. Archives may exclude files, use fallback extraction or contain truncation; they are not guaranteed complete checkouts. Record any upstream revision evidence and included-file limits. If missing or insufficient, follow the README's original upstream URL.

Choose and Verify the Source

For a specific project, locate its README identity, use a description or wiki page for orientation when helpful, then inspect the relevant archive/source artifact for the question. For current compatibility or exact implementation, verify the matching upstream documentation, release or immutable source revision. Keep the collection revision and capture/generation dates separate from the upstream version. Multiple generated layers from one source are not independent corroboration, and missing archive content does not establish upstream absence.

The per-domain resource guide above helps choose useful artifacts. Shared repository navigation adds the optional read-only indexer, case-ambiguity handling and maintenance details; it supplements this Data Source section rather than replacing it.