A lightweight surveillance tool for CTFd competitions
Project description
ctf-watch
A lightweight surveillance tool for CTFd competitions. Get desktop notifications when teams solve challenges or when challenges are added/updated.
Installation
# Install dependencies
sudo apt install libnotify-bin # Debian/Ubuntu
sudo dnf install libnotify # Fedora
sudo pacman -S libnotify # Arch
# Install ctf-watch
pip install -e .
Usage
Start the setup wizard:
ctf-watch -w
Stop active watchers:
ctf-watch -s
Features
- Solve notifications: Get notified when a team solves a challenge
- Challenge tracking: Monitor new, updated, or removed challenges (requires authentication)
- Background daemon: Runs silently in the background
- Minimal overhead: Configurable polling interval
Authentication
Challenge notifications require a CTFd access token. Generate one from your user settings page and provide it during setup.
Without a token, you'll still get solve notifications for public teams.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ctf_watch-1.0.0.tar.gz.
File metadata
- Download URL: ctf_watch-1.0.0.tar.gz
- Upload date:
- Size: 7.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
712db5e5d755dacca6d159b2f070d7307a10b69467f7e1119e22198507a63340
|
|
| MD5 |
0c5a0868875bf36859f978681c2317ab
|
|
| BLAKE2b-256 |
bec3eca337c621529ee7ab1bd6f4da3ada255dcda16f8612e4137cc8c099fc6e
|
File details
Details for the file ctf_watch-1.0.0-py3-none-any.whl.
File metadata
- Download URL: ctf_watch-1.0.0-py3-none-any.whl
- Upload date:
- Size: 9.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5284ec64010cc2fbb6da4685d75dad6ce8da1adadea6605a8e1260cc0a22c367
|
|
| MD5 |
4129f5a4bfb828e901978249f5b157a4
|
|
| BLAKE2b-256 |
070e8c6d45a374aa7f54c66c97d8e58fde992073e41888f48dc92145ca398d73
|