Fix BOLA (Broken Object Level Authorization) in Pyramid
BOLA (formerly IDOR) remains the #1 vulnerability in modern APIs. In the Pyramid framework, this occurs when developers rely on `request.matchdict` to fetch resources without verifying if the `authenticated_userid` has the right to access that specific object. If you're fetching by ID alone, you're leaking data.
The Vulnerable Pattern
@view_config(route_name='user_invoice', renderer='json')
def get_invoice(request):
# VULNERABLE: Direct lookup from URL parameter without ownership check
invoice_id = request.matchdict['id']
invoice = request.dbsession.query(Invoice).filter(Invoice.id == invoice_id).first()
if not invoice:
return HTTPNotFound()
return invoice.to_dict()The Secure Implementation
To kill BOLA in Pyramid, you must implement resource-level checks. The secure example uses 'Query Scoping'—ensuring the SQL query includes the `owner_id` derived from the session/token, not the request body. For complex apps, use Pyramid's 'Traversal' and 'ACLs' (Access Control Lists) to attach permissions directly to resource instances, forcing the authorization policy to validate the user against the specific object before the view logic even executes.
@view_config(route_name='user_invoice', renderer='json')
def get_invoice(request):
# SECURE: Scope the query to the authenticated user
invoice_id = request.matchdict['id']
user_id = request.authenticated_userid
invoice = request.dbsession.query(Invoice).filter(
Invoice.id == invoice_id,
Invoice.owner_id == user_id
).first()
if not invoice:
# Return 404 instead of 403 to prevent ID enumeration/discovery
return HTTPNotFound()
return invoice.to_dict()</code></pre>
Your Pyramid API
might be exposed to BOLA (Broken Object Level Authorization)
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.