What alternatives does Hallucina build upon?
Hallucina references Goron, Hikari, ollvm, and Akira obfuscators, indicating it is based on or extends similar LLVM obfuscation passes.
Hallucina MCP Server
@smadi0x86
Basic information
About Hallucina MCP Server
An LLVM-based obfuscation tool designed to confuse LLM clients interacting with custom MCP disassembler servers.
Hallucina MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryHallucina MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Hallucina?
Hallucina is an LLVM‑17 based obfuscation tool designed to confuse LLM clients that are used with custom MCP servers for disassemblers such as Ghidra and IDA PRO, making human‑driven reverse engineering mandatory.
How to use Hallucina?
Build Hallucina from source using the provided CMake and Ninja instructions, then use the generated clang binary with one or more -mllvm obfuscation flags (e.g., -mllvm -irobf -mllvm --irobf-indbr) to compile source files. For projects, set CC to the built clang and add the flags to CFLAGS.
Key features of Hallucina
- Obfuscation using indirect branches with encrypted jump targets.
- Indirect function calls with encrypted target addresses.
- Indirect global variable references with encrypted addresses.
- C string encryption to hide literal strings.
- Procedure‑related control flow flattening obfuscation.
- Comprehensive flag that applies all obfuscation techniques at once.
Use cases of Hallucina
- Obfuscating binaries to prevent automated reverse engineering by LLM‑based tools.
- Protecting proprietary code from analysis by disassembler‑integrated AI clients.
- Hardening executables against static analysis and tampering.
Frequently asked questions
What are the build dependencies for Hallucina?
On Windows: Ninja and Visual Studio 2022. On Linux: build‑essential, cmake, ninja‑build, and python3. LLVM 17 source code is required, and building may need increased swap memory.
How do I apply Hallucina’s obfuscation to a project?
Set the compiler to the built `clang` binary and add the desired `-mllvm` flags to `CFLAGS` before running `./configure` and `make`.
Does Hallucina support any transport or authentication?
The README does not mention any transport or authentication mechanism; Hallucina is a compiler‑level obfuscator, not a network service.
Are there known limitations of Hallucina?
The README does not list explicit limitations, but notes possible compilation errors (e.g., missing `#include <fstream>`) and memory issues during build that require swap space.
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