Anti-abuse security middleware for Telegram bots.
Protect your bot from:
- ✅ Flood attacks
- ✅ Spam
- ✅ Command abuse
- ✅ Automated users
pip install shieldgramfrom aiogram import Bot, Dispatcher, Router
from aiogram.filters import Command
from aiogram.types import Message
from shieldgram import Shield
router = Router()
shield = Shield(redis="redis://localhost:6379/0")
@router.message(Command("start"))
async def cmd_start(message: Message) -> None:
await message.answer("Hello!")
async def main():
bot = Bot(token="YOUR_BOT_TOKEN")
dp = Dispatcher()
dp.message.middleware(shield)
dp.include_router(router)
await dp.start_polling(bot)Shieldgram assigns a threat score to every user action:
| Signal | Weight |
|---|---|
| Flood (burst) | +0.40 |
| Spam (repeat) | +0.30 |
| Too many links | +0.20 |
| Suspicious behavior | +0.10 |
| Score | Verdict |
|---|---|
| 0.0–0.4 | ALLOW |
| 0.4–0.7 | WARN |
| 0.7–1.0 | BLOCK |
Telegram Update → Shield Middleware → Detection Engine
│
┌───────────┼───────────┐
RateLimiter FloodDetector ...
│ │
└───────────┘
│
Threat Score Engine
│
Decision Engine
│ │
Redis PostgreSQL
shield = Shield(
redis="redis://localhost:6379/0",
rate_limiter={
"sliding_window_seconds": 60,
"max_requests_per_window": 30,
"token_bucket_rate": 5,
"token_bucket_burst": 10,
},
flood_detector={
"burst_window_seconds": 5,
"burst_threshold": 10,
"repeat_window_seconds": 30,
"repeat_threshold": 5,
},
block_threshold=0.7,
warn_threshold=0.4,
ignore_users=[123456789],
)docker compose up -dOr locally:
pip install shieldgram
export BOT_TOKEN="your_token"
python examples/protected_bot.pyThen attack it:
python examples/attack_simulator.py- v0.1 — Middleware, Rate Limiter, Flood Detector, Threat Scoring
- v0.2 — Spam detection, Reputation system, PostgreSQL logs
- v0.3 — Dashboard, API, Docker deployment
- v1.0 — Plugin system, production hardening
MIT — see LICENSE