Fix NoSQL Injection in Pyramid
In Pyramid applications using PyMongo, NoSQL injection occurs when developers trust raw request dictionaries. If an attacker passes a JSON body like {"password": {"$ne": null}}, they can bypass authentication entirely. Secure code requires strict type enforcement and schema validation.
The Vulnerable Pattern
@view_config(route_name='login', renderer='json')
def login(request):
# VULNERABLE: Directly passing request body into MongoDB query
# Attacker sends: {"username": "admin", "password": {"$ne": ""}}
user_data = request.json_body
user = request.db.users.find_one({
"username": user_data.get('username'),
"password": user_data.get('password')
})
if user:
return {'status': 'authenticated'}
return {'status': 'failed'}The Secure Implementation
The vulnerability stems from PyMongo accepting dictionaries as field values, which allows the injection of MongoDB operators like $ne, $gt, or $where. By casting user input to a string (str()), any nested dictionary or operator is flattened into a literal string, neutralizing the injection. For enterprise-grade security, use a schema validation library like Colander or Marshmallow to enforce strict data types before the query hits the database layer.
@view_config(route_name='login', renderer='json')
def login(request):
# SECURE: Explicitly cast inputs to strings and validate structure
username = str(request.json_body.get('username', ''))
password = str(request.json_body.get('password', ''))
if not username or not password:
return {'status': 'failed'}
user = request.db.users.find_one({
"username": username,
"password": password
})
if user:
return {'status': 'authenticated'}
return {'status': 'failed'}</code></pre>
Your Pyramid API
might be exposed to NoSQL Injection
74% of Pyramid apps fail this check. Hackers use automated scanners to find this specific flaw. Check your codebase before they do.
Free Tier • No Credit Card • Instant Report
Verified by Ghost Labs Security Team
This content is continuously validated by our automated security engine and reviewed by our research team. Ghost Labs analyzes over 500+ vulnerability patterns across 40+ frameworks to provide up-to-date remediation strategies.