CVE-2019-7164: SQL Injection in SQLAlchemy

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Background

SQLAlchemy is a popular Python SQL toolkit and Object-Relational Mapping (ORM) library. It provides a set of high-level API for interacting with relational databases. SQLAlchemy versions 1.2.17 and 1.3.x through 1.3.0b2 are affected by a SQL Injection vulnerability. This vulnerability can be exploited through the 'order_by' parameter, allowing an attacker to inject malicious SQL code into the query.

Vulnerability Detail

The SQL Injection vulnerability in SQLAlchemy allows an attacker to manipulate the 'order_by' parameter to inject arbitrary SQL code. This can lead to unauthorized access, data leakage, or even remote code execution, depending on the context in which the vulnerable code is used. It is important to note that this vulnerability affects all applications that use SQLAlchemy and do not properly sanitize or validate user input when constructing SQL queries.

pip install --upgrade "sqlalchemy==2.1.6"

pip install --upgrade "sqlalchemy==1.2.18"

Workaround

If upgrading to the latest version of SQLAlchemy is not immediately feasible, a temporary workaround can be implemented by manually sanitizing and validating user input before using it in SQL queries. This can be achieved by using parameterized queries or escaping special characters. Here is an example of using parameterized queries with SQLAlchemy to prevent SQL Injection:

from sqlalchemy import create_engine, text

engine = create_engine('sqlite:///mydatabase.db')

with engine.connect() as conn:
    query = text('SELECT * FROM users WHERE id = :user_id')
    result = conn.execute(query, user_id=user_id)
    # Process the query result

In this example, the user input is passed as a parameter to the query, ensuring that it is properly sanitized and preventing SQL Injection.

Conclusion

The SQL Injection vulnerability in SQLAlchemy can have serious security implications for applications that use this library. It is crucial to upgrade to the latest version of SQLAlchemy and implement proper input validation and sanitization to mitigate the risk of SQL Injection attacks. For further support on vulnerability remediation, please contact DevNack.com.

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