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BlindCanSeeQL: Improved Blind SQL Injection For DB Schema Discovery Using A Predictive Dictionary From Web Scraped Word Based Lists

SQL Injections are still a prominent threat on the web. Using a custom built tool, BlindCanSeeQL (BCSQL), we will explore how to automate Blind SQL attacks to discover database schema using fewer requests than the standard methods, thus helping avoid detection from overloading a server with hits. This tool uses a web crawler to discover keywords that assist with autocompleting schema object names, along with improvements in ASCII bisection to lower the number of requests sent to the server. Along with this tool, we will discuss ways to prevent and protect against such attacks.

Identiferoai:union.ndltd.org:USF/oai:scholarcommons.usf.edu:etd-7246
Date27 October 2015
CreatorsWheeler, Ryan
PublisherScholar Commons
Source SetsUniversity of South Flordia
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceGraduate Theses and Dissertations
Rightsdefault

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