Presentation Material
Abstract
The rise of NoSQL databases and their simplicity has made corporates as well as end users have started to move towards NoSQL,However is it safe?.Does NoSQL mean we will not have to worry about Injection attacks. Yes We Do. This paper concentrates on exploiting NoSQL DB’s especially with its reach towards Mongodb,Couchdb and Redis and automating it using the NoSQL Exploitation Framework.
AI Generated Summary
The talk addressed the security assessment of widely deployed NoSQL databases, including MongoDB, CouchDB, Redis, and Cassandra. A primary finding was the extensive exposure of these databases; analysis of public scan data indicated that a large majority of accessible instances, particularly for MongoDB and Redis, lacked authentication and were openly reachable.
Key technical vulnerabilities were detailed for each database type. MongoDB was highlighted for JavaScript injection attacks, leveraging its server-side JavaScript engine (SpiderMonkey or V8) and operators like $where and this to dump data or execute commands. CouchDB’s default “admin party” mode, unencrypted authentication cookies, and cross-site request forgery (CSRF) in its Futon web interface were noted, along with a technique for blind port scanning via its replication feature. Redis was presented as vulnerable to brute-force attacks due to fast password guessing, denial-of-service via infinite loops in its Lua scripting engine, and arbitrary file writes by manipulating its configuration file. Cassandra, while more SQL-like, was susceptible to injection in web applications and could be abused for local file reading via shell commands.
To automate the discovery and exploitation of these issues, the speaker presented an open-source Python framework. Its features include multi-threaded scanning for open NoSQL ports, database-specific payloads for injection and misconfiguration checks, credential sniffing, database cloning, and post-exploitation modules like saving JavaScript functions for MongoDB. The tool consolidates attacks for multiple NoSQL platforms into a single framework, addressing a gap in existing tools.
Practical implications emphasize that NoSQL deployments frequently prioritize performance and scalability over security, leading to default, insecure configurations. Pentesters should specifically test for injection in query parameters, exposed administrative interfaces, and protocol-specific abuse. The framework provides a method to systematically identify these common weaknesses across diverse NoSQL technologies.