A table of a bank's customers, for example, may well have a column for storing each customer's unique bank account...
By submitting your email address, you agree to receive emails regarding relevant topic offers from TechTarget and its partners. You can withdraw your consent at any time. Contact TechTarget at 275 Grove Street, Newton, MA.
number – a possible candidate for a primary key. The primary key's value distinguishes each row of customer data.
To speed up the retrieval of customer data, the bank account number or the Social Security number of each customer, for example, can be indexed. The arrangement allows bank staff to quickly search the database using that particular piece of information. These indexes, however, are the focus of a new timing attack technique demonstrated by researchers from Core Security Technologies. The attack uses a series of insert operations to find weaknesses in the database's indexing algorithm. Attackers can then extract data from indexed fields. The insertion commands do not exploit any application logic or code flaws; the functions are typically available to all database users.
The initial defensive recommendation is to not use indexes on confidential data. Without indexes, however, data retrieval is complex. To find the particular row matching a given bank account or Social Security number, the database server would have to perform a full table scan to search every row in the customers' table. Complex queries across multiple tables also depend heavily on indexes. These delays would have a significant impact on performance and cripple most large commercial databases.
While there are no reports of this attack being used in the wild, it is a plausible threat. Database administrators should monitor log files more closely to look for abnormal repetitive insert activity. Application firewalls will also need to be tuned to detect unusual patterns of activity. For new databases, architects must make some modifications to the data model and application code. For each column in a table that must be indexed, there must now be a corresponding column to store the hash value of the confidential data. This hash value can then be used for indexing. The attacker will not be able to calculate the value of confidential data from it, effectively negating the attack. Applications can still search for the confidential data efficiently by performing the search on the indexed hash value column and passing the hashed value of the data as the search criteria.
Dig Deeper on Enterprise Data Governance
Related Q&A from Michael Cobb
Amazon disabled native encryption capabilities in the latest Fire OS version. Expert Michael Cobb explains what this means for security, and if ...continue reading
A pirated app called Happy Daily English beat Apple's App Store security review. Expert Michael Cobb explains how it works and what security teams ...continue reading
The Lenovo SHAREit file-sharing app has a hardcoded password vulnerability, among other issues. Expert Michael Cobb explains these flaws and how to ...continue reading
Have a question for an expert?
Please add a title for your question
Get answers from a TechTarget expert on whatever's puzzling you.