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.
  • Minimized CRT Dependency: Reduces reliance on the C Runtime (CRT) by utilizing custom-implemented string and memory operations, retaining only essential allocations (malloc and free).

Quick Start

Requirements

  • Operating System: Windows (x64 architecture only)
  • Python: version 3.8 or higher
  • Compiler: Visual Studio C++ Build Tools (MSVC Compiler)

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

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-0.2.0.tar.gz (10.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

antihook-0.2.0-cp314-cp314-win_amd64.whl (35.0 kB view details)

Uploaded CPython 3.14Windows x86-64

File details

Details for the file antihook-0.2.0.tar.gz.

File metadata

  • Download URL: antihook-0.2.0.tar.gz
  • Upload date:
  • Size: 10.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for antihook-0.2.0.tar.gz
Algorithm Hash digest
SHA256 de58a7e9fffebde34d05fde9bff018a86042e37bb6820b9bcf9040cfdbcd0185
MD5 393c41edc72c137802852d9bfe792311
BLAKE2b-256 2900fc06b25c8fa9a06cdbc84ce533d1ae36f129bd374600322c0a4fdbb8629c

See more details on using hashes here.

File details

Details for the file antihook-0.2.0-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: antihook-0.2.0-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 35.0 kB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for antihook-0.2.0-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 7798822d76cb6d26b10fea7bbc1e5603f092022c168e8e88c6a4af6f23d0299a
MD5 5dff8197503bca46b24b797e162efe14
BLAKE2b-256 0df7b1ce4f39ed081199db3d9cdba5f2bd6a37b8b97245f338bd2eefd24519f0

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