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Table 3-7
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Metacharacter $number ${name} $$ $& $` $' $+ $_
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Description Substitutes the last substring matched by group number number (decimal) Substitutes the last substring matched by a ( <name> ) group Substitutes a single $ literal Substitutes a copy of the entire match itself Substitutes all the text of the input string before the match Substitutes all the text of the input string after the match Substitutes the last group captured Substitutes the entire input string
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How to Use Regular Expressions to Constrain String Input
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When building security into your application, regular expressions are the most efficient way to validate user input. If you build an application that accepts a five-digit number from a user, you can use a regular expression to ensure that the input is exactly five characters long and that each character is a number from 0 through 9. Similarly, when prompting a user for her first and last name, you can check her input with a regular expression and throw an exception when the input contains numbers, delimiters, or any other nonalphabetic character. Unfortunately, not all input is as easy to describe as numbers and e-mail addresses. Names and street addresses are particularly difficult to validate because they can contain a wide variety of characters from international alphabets that are unfamiliar to you. For example, O Dell, Varkey Chudukatil, Skj naa, Craciun, and McAskill-White are all legitimate last names. Programmatically filtering these examples of valid input from malicious input such as 1 DROP TABLE PRODUCTS (a SQL injection attack) is difficult. One common approach is to instruct users to replace characters in their own names. For example, users who normally enter an apostrophe or a hyphen in their names could omit those characters. Users with letters that are not part of the standard Roman alphabet could replace letters with the closest similar Roman character. Although this
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Lesson 1: Forming Regular Expressions
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system allows you to validate input more rigorously, it requires users to sacrifice the accurate spelling of their names something many people take very personally. As an alternative, you can perform as much filtering as possible on the input and then clean the input of any potentially malicious content. Most input validation should be pessimistic and allow only input that consists entirely of approved characters. However, input validation of real names might need to be optimistic and cause an error only when specifically denied characters exist. For example, you could reject a user s name if it contains one of the following characters: !, @, #, $, %, ^, *, (, ), <, >. All these characters are unlikely to appear in a name but are likely to be used in an attack. Visual Studio .NET provides the following regular expression to match valid names: [a-zA-Z'`- \s]{1,40}.
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Real World
Tony Northrup I m often stubborn to a fault. For many years, I simply refused to learn regular expressions. Regular expressions were the UNIX way of doing things, and I was a Windows guy. Recently, I reviewed some code I wrote several years ago when I was still being stubborn. I had written dozens of lines of code to check the validity of text data that could have been written with a singular regular expression. That doesn t bother me in itself, because sometimes writing more code improves readability. However, in this case, the text checking had gotten so complex that the textchecking code contained bugs. I rewrote the code using regular expressions, and it not only fixed the bugs, but it simplified the code. So, for your own sake, don t ignore regular expressions just because they seem overly complex. Dive in, spend a few hours working with them, and you won t regret it.
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