Fix Mass Assignment in Flask
Mass Assignment in Flask is a critical vulnerability where an application takes user-provided data and binds it to internal models without filtering. If you are dumping 'request.json' or 'request.form' directly into an ORM constructor or update method, you are handing the attacker a direct pipeline to your database schema. This allows unauthorized modification of sensitive fields like 'is_admin', 'role', or 'balance'.
The Vulnerable Pattern
@app.route('/api/user/update', methods=['POST'])
def update_user():
user = User.query.get(get_jwt_identity())
# VULNERABLE: Blindly unpacking the entire JSON payload into the model
user.update(**request.json)
db.session.commit()
return {'status': 'success'}
The Secure Implementation
The exploit leverages the '**' dictionary unpacking operator. An attacker sends a payload like '{"is_admin": true, "bio": "hacked"}'. Because the vulnerable code doesn't filter keys, SQLAlchemy updates the 'is_admin' column. To remediate, you must implement a strict whitelist. Never trust the client to define the scope of an update. Use explicit field mapping or a schema-enforcement library like Marshmallow to validate and filter the input DTO (Data Transfer Object) before it touches your persistence layer.
@app.route('/api/user/update', methods=['POST'])
def update_user():
user = User.query.get(get_jwt_identity())
data = request.json
# SECURE: Explicitly whitelisting fields
allowed_updates = ['bio', 'location', 'display_name']
for field in allowed_updates:
if field in data:
setattr(user, field, data[field])
db.session.commit()
return {'status': 'success'}
Your Flask API
might be exposed to Mass Assignment
74% of Flask apps fail this check. Hackers use automated scanners to find this specific flaw. Check your codebase before they do.
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