OWASP Testing Guide
  • Foreword by Eoin Keary
  • Frontispiece
  • Introduction
  • The OWASP Testing Framework
    • The Web Security Testing Framework
    • Penetration Testing Methodologies
  • Web Application Security Testing
    • Introduction and Objectives
    • Information Gathering
      • Conduct Search Engine Discovery Reconnaissance for Information Leakage (WSTG-INFO-01)
      • Fingerprint Web Server (WSTG-INFO-02)
      • Review Webserver Metafiles for Information Leakage (WSTG-INFO-03)
      • Enumerate Applications on Webserver (WSTG-INFO-04)
      • Review Webpage Content for Information Leakage (WSTG-INFO-05)
      • Identify Application Entry Points (WSTG-INFO-06)
      • Map Execution Paths Through Application (WSTG-INFO-07)
      • Fingerprint Web Application Framework (WSTG-INFO-08)
      • Fingerprint Web Application (WSTG-INFO-09)
      • Map Application Architecture (WSTG-INFO-10)
    • Configuration and Deployment Management Testing
      • Test Network Infrastructure Configuration (WSTG-CONF-01)
      • Test Application Platform Configuration (WSTG-CONF-02)
      • Test File Extensions Handling for Sensitive Information (WSTG-CONF-03)
      • Review Old Backup and Unreferenced Files for Sensitive Information (WSTG-CONF-04)
      • Enumerate Infrastructure and Application Admin Interfaces (WSTG-CONF-05)
      • Test HTTP Methods (WSTG-CONF-06)
      • Test HTTP Strict Transport Security (WSTG-CONF-07)
      • Test RIA Cross Domain Policy (WSTG-CONF-08)
      • Test File Permission (WSTG-CONF-09)
      • Test for Subdomain Takeover (WSTG-CONF-10)
      • Test Cloud Storage (WSTG-CONF-11)
      • Testing for Content Security Policy (WSTG-CONF-12)
    • Identity Management Testing
      • Test Role Definitions (WSTG-IDNT-01)
      • Test User Registration Process (WSTG-IDNT-02)
      • Test Account Provisioning Process (WSTG-IDNT-03)
      • Testing for Account Enumeration and Guessable User Account (WSTG-IDNT-04)
      • Testing for Weak or Unenforced Username Policy (WSTG-IDNT-05)
    • Authentication Testing
      • Testing for Credentials Transported over an Encrypted Channel (WSTG-ATHN-01)
      • Testing for Default Credentials (WSTG-ATHN-02)
      • Testing for Weak Lock Out Mechanism (WSTG-ATHN-03)
      • Testing for Bypassing Authentication Schema (WSTG-ATHN-04)
      • Testing for Vulnerable Remember Password (WSTG-ATHN-05)
      • Testing for Browser Cache Weaknesses (WSTG-ATHN-06)
      • Testing for Weak Password Policy (WSTG-ATHN-07)
      • Testing for Weak Security Question Answer (WSTG-ATHN-08)
      • Testing for Weak Password Change or Reset Functionalities (WSTG-ATHN-09)
      • Testing for Weaker Authentication in Alternative Channel (WSTG-ATHN-10)
      • Testing Multi-Factor Authentication (MFA) (WSTG-AUTH-11)
    • Authorization Testing
      • Testing Directory Traversal File Include (WSTG-ATHZ-01)
      • Testing for Bypassing Authorization Schema (WSTG-ATHZ-02)
      • Testing for Privilege Escalation (WSTG-ATHZ-03)
      • Testing for Insecure Direct Object References (WSTG-ATHZ-04)
      • Testing for OAuth Authorization Server Weaknesses
      • Testing for OAuth Client Weaknesses
      • Testing for OAuth Weaknesses (WSTG-ATHZ-05)
    • Session Management Testing
      • Testing for Session Management Schema (WSTG-SESS-01)
      • Testing for Cookies Attributes (WSTG-SESS-02)
      • Testing for Session Fixation (WSTG-SESS-03)
      • Testing for Exposed Session Variables (WSTG-SESS-04)
      • Testing for Cross Site Request Forgery (WSTG-SESS-05)
      • Testing for Logout Functionality (WSTG-SESS-06)
      • Testing Session Timeout (WSTG-SESS-07)
      • Testing for Session Puzzling (WSTG-SESS-08)
      • Testing for Session Hijacking (WSTG-SESS-09)
      • Testing JSON Web Tokens (WSTG-SESS-10)
    • Input Validation Testing
      • Testing for Reflected Cross Site Scripting (WSTG-INPV-01)
      • Testing for Stored Cross Site Scripting (WSTG-INPV-02)
      • Testing for HTTP Verb Tampering (WSTG-INPV-03)
      • Testing for HTTP Parameter Pollution (WSTG-INPV-04)
      • Testing for Oracle
      • Testing for MySQL
      • Testing for SQL Server
      • Testing PostgreSQL
      • Testing for MS Access
      • Testing for NoSQL Injection
      • Testing for ORM Injection
      • Testing for Client-side
      • Testing for SQL Injection (WSTG-INPV-05)
      • Testing for LDAP Injection (WSTG-INPV-06)
      • Testing for XML Injection (WSTG-INPV-07)
      • Testing for SSI Injection (WSTG-INPV-08)
      • Testing for XPath Injection (WSTG-INPV-09)
      • Testing for IMAP SMTP Injection (WSTG-INPV-10)
      • Testing for File Inclusion
      • Testing for Code Injection (WSTG-INPV-11)
      • Testing for Command Injection (WSTG-INPV-12)
      • Testing for Buffer Overflow (WSTG-INPV-13)
      • Testing for Format String Injection (WSTG-INPV-13)
      • Testing for Incubated Vulnerability (WSTG-INPV-14)
      • Testing for HTTP Splitting Smuggling (WSTG-INPV-15)
      • Testing for HTTP Incoming Requests (WSTG-INPV-16)
      • Testing for Host Header Injection (WSTG-INPV-17)
      • Testing for Server-side Template Injection (WSTG-INPV-18)
      • Testing for Server-Side Request Forgery (WSTG-INPV-19)
      • Testing for Mass Assignment (WSTG-INPV-20)
    • Testing for Error Handling
      • Testing for Improper Error Handling (WSTG-ERRH-01)
      • Testing for Stack Traces (WSTG-ERRH-02)
    • Testing for Weak Cryptography
      • Testing for Weak Transport Layer Security (WSTG-CRYP-01)
      • Testing for Padding Oracle (WSTG-CRYP-02)
      • Testing for Sensitive Information Sent via Unencrypted Channels (WSTG-CRYP-03)
      • Testing for Weak Encryption (WSTG-CRYP-04)
    • Business Logic Testing
      • Introduction to Business Logic
      • Test Business Logic Data Validation (WSTG-BUSL-01)
      • Test Ability to Forge Requests (WSTG-BUSL-02)
      • Test Integrity Checks (WSTG-BUSL-03)
      • Test for Process Timing (WSTG-BUSL-04)
      • Test Number of Times a Function Can Be Used Limits (WSTG-BUSL-05)
      • Testing for the Circumvention of Work Flows (WSTG-BUSL-06)
      • Test Defenses Against Application Misuse (WSTG-BUSL-07)
      • Test Upload of Unexpected File Types (WSTG-BUSL-08)
      • Test Upload of Malicious Files (WSTG-BUSL-09)
      • Test Payment Functionality (WSTG-BUSL-10)
    • Client-Side Testing
      • Testing for Self DOM Based Cross-Site Scripting
      • Testing for DOM-Based Cross Site Scripting (WSTG-CLNT-01)
      • Testing for JavaScript Execution (WSTG-CLNT-02)
      • Testing for HTML Injection (WSTG-CLNT-03)
      • Testing for Client-side URL Redirect (WSTG-CLNT-04)
      • Testing for CSS Injection (WSTG-CLNT-05)
      • Testing for Client-side Resource Manipulation (WSTG-CLNT-06)
      • Testing Cross Origin Resource Sharing (WSTG-CLNT-07)
      • Testing for Cross Site Flashing (WSTG-CLNT-08)
      • Testing for Clickjacking (WSTG-CLNT-09)
      • Testing WebSockets (WSTG-CLNT-10)
      • Testing Web Messaging (WSTG-CLNT-11)
      • Testing Browser Storage (WSTG-CLNT-12)
      • Testing for Cross Site Script Inclusion (WSTG-CLNT-13)
      • Testing for Reverse Tabnabbing (WSTG-CLNT-14)
    • API Testing
      • Testing GraphQL (WSTG-APIT-01)
  • Reporting
    • Reporting
    • Vulnerability Naming Schemes
  • Appendix
    • Testing Tools Resource
    • Suggested Reading
    • Fuzz Vectors
    • Encoded Injection
    • History
    • Leveraging Dev Tools
  • Testing Checklist
  • Table of Contents
  • REST Assessment Cheat Sheet
  • API Testing
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On this page
  • Summary
  • How to Test
  • Testing for NoSQL Injection Vulnerabilities in MongoDB
  • Example 1
  • Example 2
  • References
  • Injection Payloads
  • Whitepapers
  1. Web Application Security Testing
  2. Input Validation Testing

Testing for NoSQL Injection

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Last updated 2 years ago

Summary

NoSQL databases provide looser consistency restrictions than traditional SQL databases. By requiring fewer relational constraints and consistency checks, NoSQL databases often offer performance and scaling benefits. Yet these databases are still potentially vulnerable to injection attacks, even if they aren't using the traditional SQL syntax. Because these NoSQL injection attacks may execute within a , rather than in the , the potential impacts are greater than traditional SQL injection.

NoSQL database calls are written in the application's programming language, a custom API call, or formatted according to a common convention (such as XML, JSON, LINQ, etc). Malicious input targeting those specifications may not trigger the primarily application sanitization checks. For example, filtering out common HTML special characters such as < > & ; will not prevent attacks against a JSON API, where special characters include / { } :.

There are now over 150 for use within an application, providing APIs in a variety of languages and relationship models. Each offers different features and restrictions. Because there is not a common language between them, example injection code will not apply across all NoSQL databases. For this reason, anyone testing for NoSQL injection attacks will need to familiarize themselves with the syntax, data model, and underlying programming language in order to craft specific tests.

NoSQL injection attacks may execute in different areas of an application than traditional SQL injection. Where SQL injection would execute within the database engine, NoSQL variants may execute during within the application layer or the database layer, depending on the NoSQL API used and data model. Typically NoSQL injection attacks will execute where the attack string is parsed, evaluated, or concatenated into a NoSQL API call.

Additional timing attacks may be relevant to the lack of concurrency checks within a NoSQL database. These are not covered under injection testing. At the time of writing MongoDB is the most widely used NoSQL database, and so all examples will feature MongoDB APIs.

How to Test

Testing for NoSQL Injection Vulnerabilities in MongoDB

The MongoDB API expects BSON (Binary JSON) calls, and includes a secure BSON query assembly tool. However, according to MongoDB documentation - unserialized JSON and are permitted in several alternative query parameters. The most commonly used API call allowing arbitrary JavaScript input is the $where operator.

The MongoDB $where operator typically is used as a simple filter or check, as it is within SQL.

db.myCollection.find( { $where: "this.credits`` ``==`` ``this.debits" } );

Optionally JavaScript is also evaluated to allow more advanced conditions.

db.myCollection.find( { $where: function() { return obj.credits - obj.debits < 0; } } );

Example 1

If an attacker were able to manipulate the data passed into the $where operator, that attacker could include arbitrary JavaScript to be evaluated as part of the MongoDB query. An example vulnerability is exposed in the following code, if user input is passed directly into the MongoDB query without sanitization.

db.myCollection.find( { active: true, $where: function() { return obj.credits - obj.debits < $userInput; } } );;

As with testing other types of injection, one does not need to fully exploit the vulnerability to demonstrate a problem. By injecting special characters relevant to the target API language, and observing the results, a tester can determine if the application correctly sanitized the input. For example within MongoDB, if a string containing any of the following special characters were passed unsanitized, it would trigger a database error.

' " \ ; { }

With normal SQL injection, a similar vulnerability would allow an attacker to execute arbitrary SQL commands - exposing or manipulating data at will. However, because JavaScript is a fully featured language, not only does this allow an attacker to manipulate data, but also to run arbitrary code. For example, instead of just causing an error when testing, a full exploit would use the special characters to craft valid JavaScript.

This input 0;var date=new Date(); do{curDate = new Date();}while(curDate-date<10000) inserted into $userInput in the above example code would result in the following JavaScript function being executed. This specific attack string would case the entire MongoDB instance to execute at 100% CPU usage for 10 second.

function() { return obj.credits - obj.debits < 0;var date=new Date(); do{curDate = new Date();}while(curDate-date<10000); }

Example 2

Even if the input used within queries is completely sanitized or parameterized, there is an alternate path in which one might trigger NoSQL injection. Many NoSQL instances have their own reserved variable names, independent of the application programming language.

For example within MongoDB, the $where syntax itself is a reserved query operator. It needs to be passed into the query exactly as shown; any alteration would cause a database error. However, because $where is also a valid PHP variable name, it may be possible for an attacker to insert code into the query by creating a PHP variable named $where. The PHP MongoDB documentation explicitly warns developers:

Please make sure that for all special query operators (starting with $) you use single quotes so that PHP doesn't try to replace $exists with the value of the variable $exists.

Even if a query depended on no user input, such as the following example, an attacker could exploit MongoDB by replacing the operator with malicious data.

db.myCollection.find( { $where: function() { return obj.credits - obj.debits < 0; } } );

$where: function() { //arbitrary JavaScript here }

References

Injection Payloads

Whitepapers

One way to potentially assign data to PHP variables is via HTTP Parameter Pollution (see: ). By creating a variable named $where via parameter pollution, one could trigger a MongoDB error indicating that the query is no longer valid. Any value of $where other than the string $where itself, should suffice to demonstrate vulnerability. An attacker would develop a full exploit by inserting the following:

procedural language
declarative SQL language
NoSQL databases available
JavaScript expressions
Testing for HTTP Parameter pollution
Injection payload wordlist with examples of NoSQL Injection for MongoDB
Bryan Sullivan from Adobe: "NoSQL, But Even Less Security"
Erlend from Bekk Consulting: "[Security] NOSQL-injection"
Felipe Aragon from Syhunt: "NoSQL/SSJS Injection"
MongoDB Documentation: "How does MongoDB address SQL or Query injection?"
PHP Documentation: "MongoDB Driver Classes"
Hacking NodeJS and MongoDB
Attacking NodeJS and MongoDB