How to use Python regular expressions for security testing

With the continuous development of Internet technology, website security issues have attracted more and more attention. When conducting website security testing, it is especially important to master some tools and techniques. This article will introduce how to use Python regular expressions for security testing. I hope it will be helpful to the majority of security testers.

1. What is Python regular expression

Regular expression (regular expression) is a string matching technology, which is used to search, replace, split, extract and other operations in text . Python is a programming language that uses regular expressions extensively, and it provides the re module to support regular expression operations.

2. Commonly used functions for Python regular expressions

When using Python for regular expression operations, there are some commonly used functions that need to be mastered:

1. re.match( ): Matches a pattern from the beginning of the string and returns the matched object.
2. re.search(): Find a matching pattern in the string and return the matching object.
3. re.findall(): Find all matching patterns in the string.
4. re.sub(): Used to replace the part of the string that matches the regular expression.

3. Commonly used metacharacters in Python regular expressions

When writing regular expressions, you need to use some metacharacters. They have special meanings. The following are some commonly used metacharacters:

1. ^: Match the starting position of the string
2. $: Match the ending position of the string
3. *: Match 0 or more previous expressions
4. : Match 1 or more of the preceding expressions
5. ? : Match 0 or 1 preceding expression
6. . : Match any character except newline character
7. [] : Match any character in the set
8. [ ^]: Match any character that is not in the set

4. Application of Python regular expressions in security testing

1. Sensitive information detection

Use Python regular expressions to detect sensitive information, such as mobile phone numbers, email addresses, ID numbers, bank card numbers, etc. The following is a simple example:

import re
text = "我的手机号码是13888888888，我的邮箱是test@test.com"
pattern = re.compile(r'1d{10}|[w.%+-]+@[w.-]+.[A-Za-z]{2,4}')
result = pattern.findall(text)
print(result)

The output result is: ['13888888888', 'test@test.com']

2. SQL injection detection

Use Python regular expressions to detect common SQL injection vulnerabilities, such as adding special characters to URL parameters. The following is a simple example:

import re
url = "http://www.example.com/search.php?keyword=test%27+or+1=1--+"
pattern = re.compile(r''s*+s*(?:OR|AND)s+S+=S+')
result = pattern.findall(url)
if result:
    print("存在SQL注入漏洞")
else:
    print("不存在SQL注入漏洞")

The output result is: SQL injection vulnerability exists

3. XSS attack detection

Can be detected using Python regular expressions Common XSS attack vulnerabilities, such as adding script tags to URL parameters. The following is a simple example:

import re
url = "http://www.example.com/index.html?param=<script>alert('XSS');</script>"
pattern = re.compile(r'<s*scripts*>')
result = pattern.search(url)
if result:
    print("存在XSS攻击漏洞")
else:
    print("不存在XSS攻击漏洞")

The output result is: There is an XSS attack vulnerability

5. Summary

This article introduces how to use Python regular expressions for security testing. And provides some commonly used examples. Python regular expressions are a very useful tool to master and use when conducting website security testing. At the same time, pay attention to the syntax of regular expressions and the meaning of special characters to avoid errors.

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