Hacking Tools

MODeflattener – Miasm’s OLLVM Deflattener

MODeflattener is a specialized tool designed to reverse OLLVM’s control flow flattening obfuscation through static analysis techniques.

Developed using Miasm’s intermediate representation capabilities, it systematically reconstructs the original program logic from obfuscated binaries by analyzing and patching key structural components.

Core Functionality

Control Flow Deobfuscation
The tool identifies two critical components in flattened functions:

  • Pre-dispatcher: Located by analyzing block predecessors (the block with maximum incoming edges)1
  • Dispatcher: Determined as the first successor of the pre-dispatcher1

These form the “backbone” that coordinates execution through a state variable system. MODeflattener traces this variable’s modifications across basic blocks to map the original control flow.

Technical Process

  1. State Variable Analysis
    Identifies the register/memory location storing the dispatch state, initialized before the dispatcher and modified at each block’s end1.
  2. Relevant Block Classification
    • Simple blocks: Unconditional state updates
    • Conditional blocks: Use CMOV instructions for state branching1
  3. SSA-Based Simplification
    Applies Miasm’s do_propagate_expressions to resolve phi nodes in SSA form, revealing conditional paths: pythonssa_simplifier = IRCFGSimplifierSSA(lifter) ssa = ssa_simplifier.ircfg_to_ssa(ircfg, head) This exposes branch conditions like 0x401a9d: {'cond': 'CMOVB', 'false_next': 0x401bb0, 'true_next': 0x401af5}1.
  4. Instruction Patching
    • Removes state variable operations via def-use chain analysis
    • Replaces CMOV with conditional jumps (e.g., CMOVBJB)
    • NOPs out the entire dispatcher backbone1

Operational Workflow

textInput Binary → Identify Dispatcher → Analyze State Var → 
Classify Blocks → SSA Simplification → Generate Patches →
Rebuild Control Flow → Output Deobfuscated Binary

Enhanced Features

  • Integration with IDA Pro: Includes a nop-hider script to clean graph views
  • Automated Detection: Incorporates Tim Blazytko’s heuristics for flattened function identification1
  • Call Instruction Fixing: Adjusts relative addresses during patching to maintain functionality

The tool successfully restructures flattened control flow into human-readable graphs while preserving executable logic.

Its open-source implementation on GitHub provides practical utilities for reverse engineers tackling OLLVM-obfuscated malware or protected software1.

Varshini

Varshini is a Cyber Security expert in Threat Analysis, Vulnerability Assessment, and Research. Passionate about staying ahead of emerging Threats and Technologies.

Recent Posts

git fetch vs git pull: How They Work and When to Use Each

Both git fetch and git pull talk to a remote repository, but they do very different things to your…

4 days ago

git cherry-pick Command: Apply Commits from Another Branch

Sometimes the change you need already exists, just on the wrong branch. A hotfix lands…

4 days ago

Best Email APIs for Secure Business Email: Why Developers Are Moving Beyond SMTP

Email is still one of the most important communication channels inside modern applications. Password resets,…

5 days ago

Nginx Commands in Linux: Start, Stop, Reload, Test, and Log

Nginx is a high-performance web server and reverse proxy trusted by some of the largest…

1 week ago

ufw Command in Linux: Manage Firewall Rules with Examples

ufw (Uncomplicated Firewall) sits on top of iptables (or nftables on newer systems) and replaces…

1 week ago

who Command in Linux: Show All Logged-In Users and Sessions

When you share a server with a team or investigate unexpected activity, the first question…

1 week ago