first commit
This commit is contained in:
119
README.md
Normal file
119
README.md
Normal file
@@ -0,0 +1,119 @@
|
||||
# GODCWAK
|
||||
|
||||

|
||||
|
||||
**GPU-accelerated account-recovery lab gear with proxy rotation, targeted wordlist building, and local Ollama CAPTCHA tooling.**
|
||||
|
||||
GODCWAK is a high-energy Windows desktop application for authorized recovery work, local security testing, and lab validation on systems you own or are explicitly permitted to test. It brings a cyberpunk CustomTkinter interface to password-candidate generation, proxy health checks, live attempt logging, and local AI-assisted CAPTCHA experiments.
|
||||
|
||||
This project is not a license to attack other people, harvest credentials, bypass access controls, or run unauthorized login attempts. Keep it legal, scoped, and documented.
|
||||
|
||||
## What It Does Today
|
||||
|
||||
- **Password Builder:** creates targeted password candidates from known fragments, custom words, number ranges, symbols, capitalization rules, leet variants, pattern templates, and length/character constraints.
|
||||
- **GPU-aware generation:** uses CuPy when a CUDA GPU is available, NumPy for accelerated CPU paths, and pure Python as the fallback.
|
||||
- **Proxy Manager:** fetches public proxies, imports/pastes proxy lists, tests proxy health, removes dead entries, and commits valid proxies to the runtime pool.
|
||||
- **Attack Terminal:** runs a configurable multi-worker login workflow against the selected target URL with proxy rotation, delay controls, timeout settings, live progress, pause/resume/stop controls, and attempt logging.
|
||||
- **Logs view:** shows runtime activity and records attempts to `data/attempt_log.csv`.
|
||||
- **Setup tab:** stores local Ollama settings, lists/tests models, and supports local model configuration for CAPTCHA-solving experiments.
|
||||
|
||||
## Current Limits
|
||||
|
||||
- CAPTCHA detection is present in the attack workflow, but full CAPTCHA solve-and-submit automation is still roadmap work.
|
||||
- Browser automation modules exist, but they are not yet connected into the attack flow.
|
||||
- Login success classification and generic site handling are still under active improvement.
|
||||
- Large generated wordlists and generated attempt logs can contain sensitive data; keep them local and out of commits.
|
||||
|
||||
See [`NEEDS_TO_BE_DONE.md`](NEEDS_TO_BE_DONE.md) for the bug list, audit notes, and roadmap.
|
||||
|
||||
## Install On Windows
|
||||
|
||||
From PowerShell in the project directory:
|
||||
|
||||
```powershell
|
||||
py -3 -m venv .venv
|
||||
.\.venv\Scripts\Activate.ps1
|
||||
python -m pip install --upgrade pip
|
||||
pip install -r requirements.txt
|
||||
```
|
||||
|
||||
If PowerShell blocks activation scripts, run:
|
||||
|
||||
```powershell
|
||||
Set-ExecutionPolicy -Scope CurrentUser RemoteSigned
|
||||
```
|
||||
|
||||
Then activate the virtual environment again.
|
||||
|
||||
## Run
|
||||
|
||||
Double-click:
|
||||
|
||||
```text
|
||||
GODCWAK.bat
|
||||
```
|
||||
|
||||
Or run from PowerShell:
|
||||
|
||||
```powershell
|
||||
.\GODCWAK.bat
|
||||
```
|
||||
|
||||
The launcher prefers `.venv\Scripts\python.exe`, then the Windows `py -3` launcher, then `python` from `PATH`.
|
||||
|
||||
You can also launch directly:
|
||||
|
||||
```powershell
|
||||
python main.py
|
||||
```
|
||||
|
||||
## GPU Notes
|
||||
|
||||
GODCWAK checks for CuPy at startup. With `cupy-cuda12x` installed and a working NVIDIA CUDA-capable GPU, password-combination index generation can use the GPU for larger workloads. Without CUDA, the app falls back to NumPy CPU acceleration or pure Python.
|
||||
|
||||
If CuPy does not load, the app still runs. The startup log will report that GPU acceleration is disabled.
|
||||
|
||||
## Ollama And CAPTCHA Notes
|
||||
|
||||
Ollama settings live in `config_ollama.json`. The default host is:
|
||||
|
||||
```text
|
||||
http://localhost:11434
|
||||
```
|
||||
|
||||
Use the Setup tab to connect to a local Ollama server, list models, save a model choice, and run basic model tests. Vision-model CAPTCHA solving exists as a local solver module, but the full browser capture, solve, click/type, and retry loop is not yet wired into the attack workflow.
|
||||
|
||||
## Project Structure
|
||||
|
||||
```text
|
||||
.
|
||||
├── GODCWAK.bat Windows launcher
|
||||
├── main.py Application entry point
|
||||
├── config.py Paths, defaults, and runtime constants
|
||||
├── config_ollama.json Local Ollama and browser settings
|
||||
├── requirements.txt Python dependencies
|
||||
├── NEEDS_TO_BE_DONE.md Audit notes and roadmap
|
||||
├── data/ Local runtime data and logs
|
||||
└── src/
|
||||
├── attack/ Login client and multi-worker orchestrator
|
||||
├── captcha/ Ollama solver and browser/screenshot helpers
|
||||
├── engine/ Password generation and GPU acceleration
|
||||
├── gui/ CustomTkinter application tabs and theme
|
||||
├── proxy/ Proxy fetch, validation, and pool management
|
||||
└── utils/ File and attempt logging helpers
|
||||
```
|
||||
|
||||
## Authorized Use Only
|
||||
|
||||
Use GODCWAK only for:
|
||||
|
||||
- Accounts and systems you own.
|
||||
- Recovery workflows you are authorized to perform.
|
||||
- Internal lab targets and controlled test environments.
|
||||
- Defensive validation with written permission and a clear scope.
|
||||
|
||||
Do not use it for unauthorized credential attacks, account takeover, evasion, abuse, or activity that violates law, policy, or platform terms. The operator is responsible for scope, consent, logs, and consequences.
|
||||
|
||||
## Roadmap
|
||||
|
||||
The punch list lives in [`NEEDS_TO_BE_DONE.md`](NEEDS_TO_BE_DONE.md). Top priorities include wiring CAPTCHA automation into the attack flow, strengthening login classification, improving session/thread safety, refining proxy lifecycle handling, and adding automated tests.
|
||||
BIN
assets/screenshot.png
Normal file
BIN
assets/screenshot.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 56 KiB |
Reference in New Issue
Block a user