Improper Neutralization of Special Elements in Data Query Logic
The product generates a query intended to access or manipulate data in a data store, but it does not neutralize or incorrectly neutralizes special elements that can modify the intended logic of the query.
This covers injection attacks against NoSQL databases, ORM frameworks, and other data query mechanisms that differ from traditional SQL injection.
So behebst du diese Schwachstelle
Präventionsstrategien für NoSQL Injection basierend auf 3 Shoulder-Erkennungsregeln.
Use typed structs or explicit operators, validate all user input
func findUser(w http.ResponseWriter, r *http.Request) { username := r.URL.Query().Get("username") - filter := bson.M{"username": username} + // Use explicit $eq to prevent operator injection + filter := bson.M{"username": bson.M{"$eq": username}} collection.FindOne(ctx, filter) }
Validate input types and sanitize MongoDB operators
- app.post('/login', async (req, res) => { - const { username, password } = req.body; - // Vulnerable: user can send { "$gt": "" } as password + const mongoSanitize = require('mongo-sanitize'); + + app.post('/login', async (req, res) => { + const username = mongoSanitize(req.body.username); + const password = mongoSanitize(req.body.password); const user = await User.findOne({ username, password }); if (user) { res.json({ success: true }); } });
Validate input types and use ObjectId for ID fields
from flask import request from pymongo import MongoClient db = MongoClient().mydb @app.route('/login', methods=['POST']) def login(): data = request.get_json() - # Vulnerable: entire dict from user - user = db.users.find_one(data) + # Safe: only use specific string fields + username = str(data.get('username', '')) + password = str(data.get('password', '')) + user = db.users.find_one({ + 'username': username, + 'password': password + }) return {'success': bool(user)}
Finden Sie Schwachstellen in Ihrem Code
Verwenden Sie Shoulder, um Ihren Code nach Improper Neutralization of Special Elements in Data Query Logic-Mustern zu scannen. 3 Regeln.
# Scan with Shoulder CLI npx @shoulderdev/cli trust --cwe=943 # Or scan entire project npx @shoulderdev/cli trust .
Erkennungsregeln (3)
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Scanne deine Codebasis nach Improper Neutralization of Special Elements in Data Query Logic
Shoulder CLI findet anfällige Muster in deiner gesamten Codebasis.