Skip to main content

A native Cython memory integrity and unhooking library for Windows

Project description

AntiHook Engine

A lightweight, high-performance user-mode memory integrity and unhooking engine for Windows, written in Cython.

It scans the Export Address Table (EAT) of loaded PE modules (e.g., ntdll.dll) to detect instruction redirects (relative, absolute, or indirect jumps) and restores their original .text sections from clean system files on disk.

Features

  • Native PE Parsing: Traverses module exports with zero Python overhead using direct memory pointers.
  • Hook Detection: Identifies standard user-mode hooks (relative, absolute, and indirect jumps).
  • Origin Tracking: Resolves the exact path of the third-party DLL or security product placing the hook.
  • Local Restoration: Replaces modified memory bytes with pristine bytes mapped directly from system files.
  • No-CRT Evasion: Zero dependency on C Runtime (CRT) memory and string imports.

Quick Start

1. Requirements & Compilation

  • Windows (x86/x64) with Python 3.8+
  • Visual Studio C++ Build Tools (MSVC Compiler)

Open the appropriate Visual Studio Native Tools Command Prompt and run:

pip install build setuptools cython
pip install antihook

2. Usage

import antihook
import ctypes
import json

# Ensure target system DLL is loaded
ctypes.windll.ntdll

# Scan ntdll.dll
scan = antihook.unhook("ntdll.dll", scan_only=True)
print("Scan Results:", json.dumps(scan, indent=4))

# Restore ntdll.dll .text section
restored = antihook.unhook("ntdll.dll", scan_only=False)
print("Unhook Results:", json.dumps(restored, indent=4))

API Reference

unhook(module_name: str, scan_only: bool = False) -> dict

  • module_name: Target DLL name (e.g., "ntdll.dll").
  • scan_only: If True, only reports hooks. If False, performs the full unhooking routine.

Returns:

{
    "status": "success",
    "unhooked": true,
    "detected_hooks": [
        {
            "function": "NtCreateFile",
            "type": "Relative",
            "hook_address": "0x7FFE12345678",
            "hook_module": "C:\\Windows\\System32\\monitor.dll"
        }
    ]
}

Disclaimer

This project is intended strictly for authorized security research, application self-defense, and educational purposes. Modifying execution sections of system libraries in memory can cause instability if handled incorrectly. Use with caution.

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

antihook-0.1.1.tar.gz (90.6 kB view details)

Uploaded Source

File details

Details for the file antihook-0.1.1.tar.gz.

File metadata

  • Download URL: antihook-0.1.1.tar.gz
  • Upload date:
  • Size: 90.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for antihook-0.1.1.tar.gz
Algorithm Hash digest
SHA256 8b646fb3a982f01229a44b88bce11d36bf7e6436ec1548d9b676ca969ea26c4d
MD5 d5c53034dfd5713fe1bff95fb09f7687
BLAKE2b-256 11fe54bcfe2066ee50fb75dccf44f1984d2024f1ba2930effb9d8269598acf07

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page