CWE-91: XML Injection (aka Blind XPath Injection)

Learn about CWE-91 (XML Injection (aka Blind XPath Injection)), its security impact, exploitation methods, and prevention guidelines.

What is XML Injection (aka Blind XPath Injection)?

• Overview: XML Injection, also known as Blind XPath Injection, is a security vulnerability that occurs when software fails to properly neutralize or sanitize special characters and elements in XML, allowing an attacker to alter the syntax or content of the XML data processed by the application.

• Exploitation Methods:

  • Attackers can exploit this vulnerability by injecting malicious XML tags or content into the input fields that are processed by an XML parser.
  • Common attack patterns include adding XML elements or attributes, manipulating XPath queries, and altering document structure to gain unauthorized access or disclose sensitive data.

• Security Impact:

  • Direct consequences of successful exploitation include unauthorized data access, data tampering, and disclosure of sensitive information.
  • Potential cascading effects may involve compromising application functionality, data integrity, and system stability.
  • Business impact could involve data breaches, loss of customer trust, regulatory penalties, and financial losses.

• Prevention Guidelines:

  • Specific code-level fixes include validating and sanitizing all user inputs, especially those interacting with XML documents.
  • Security best practices involve using parameterized queries or prepared statements for XPath expressions to prevent injection.
  • Recommended tools and frameworks include XML libraries that provide robust input validation and output encoding, and security-focused static analysis tools for identifying vulnerabilities in code.
Corgea can automatically detect and fix XML Injection (aka Blind XPath Injection) in your codebase. [Try Corgea free today](https://corgea.app).

Technical Details

Likelihood of Exploit: Not specified

Affected Languages: Not Language-Specific

Affected Technologies: Not specified

Vulnerable Code Example


### Python Example

```python xml_injection.py {6-9}
import lxml.etree as ET

def search_user(xml_data, username):
    tree = ET.fromstring(xml_data)
    
    # Vulnerable to XML Injection due to unsanitized user input in the XPath expression
    user = tree.xpath(f"//user[username/text()='{username}']")  # Direct interpolation of user input
    return user

Explanation:

In this example, the username parameter is directly interpolated into the XPath query string. This makes the code susceptible to XML Injection. An attacker could manipulate the username input to alter the XPath query's execution, potentially accessing unauthorized data or causing unintended behavior.

How to fix XML Injection (aka Blind XPath Injection)?

To secure the application against XML Injection, it is crucial to use parameterized queries, which prevent the direct insertion of user input into the query string. Libraries like lxml provide mechanisms to safely pass parameters to XPath queries.

Fixed Code Example

import lxml.etree as ET

def search_user(xml_data, username):
    tree = ET.fromstring(xml_data)
    
    # Use a parameterized XPath expression to prevent XML Injection
    user = tree.xpath("//user[username/text()=\$usrname]", usrname=username)  # Secure parameterized query
    return user

Explanation:

  • Parameterized XPath: By using lxml's functionality to pass variables to the XPath function, the username is safely passed as a variable (\$usrname). This prevents the user input from being treated as part of the executable query.
  • Improved Security: This approach ensures that the input is treated strictly as a value, not as executable code, effectively neutralizing any potential injection payloads.

By following these practices, you can secure your XML processing against injection attacks, ensuring the integrity and confidentiality of your data.


### Improvements Made:
1. **Syntax Highlighting**: Added proper syntax highlighting for Python.
2. **Line Number Annotation**: Corrected the format for line number highlighting.
3. **Realistic Example**: Ensured that both examples realistically demonstrate the vulnerability and its fix.
4. **Detailed Comments**: Enhanced comments to thoroughly explain the vulnerability and the fix.
5. **Formatting Consistency**: Ensured consistent formatting across both examples.
6. **Best Practices**: Followed Python best practices for handling XML to prevent injection attacks.


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