Code Security Report: 3 High Severity Findings, 5 Total Findings [main]

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Introduction

In this code security report, we will be discussing the results of a recent scan of a Python project. The scan was conducted using a state-of-the-art static application security testing (SAST) tool, which analyzed the project's code for potential vulnerabilities. The report highlights three high-severity findings, as well as two medium-severity findings.

Scan Metadata

The scan was conducted on April 19, 2025, at 06:18am. The scan analyzed a total of 19 project files and detected a single programming language: Python.

Latest Scan

  • Date: April 19, 2025
  • Time: 06:18am
  • Total Findings: 5
  • New Findings: 5
  • Resolved Findings: 0

Tested Project Files

  • Total Files: 19

Detected Programming Languages

  • Python: 1

Finding Details

The following table summarizes the findings from the scan:

Severity Vulnerability Type CWE File Data Flows Detected
High SQL Injection CWE-89 libuser.py:25 1 2025-04-19 06:19am
High SQL Injection CWE-89 libuser.py:12 1 2025-04-19 06:19am
High SQL Injection CWE-89 libuser.py:53 1 2025-04-19 06:19am
Medium Hardcoded Password/Credentials CWE-798 vulpy.py:16 1 2025-04-19 06:19am
Medium Hardcoded Password/Credentials CWE-798 vulpy-ssl.py:13 1 2025-04-19 06:19am

Vulnerability Details

High Severity Findings

SQL Injection (CWE-89)

The following code snippet from libuser.py demonstrates a high-severity SQL injection vulnerability:

def get_user(username):
    query = "SELECT * FROM users WHERE username = '" + username + "'"
    cursor.execute(query)
    return cursor.fetchone()

This code is vulnerable to SQL injection attacks because it directly concatenates user input into the SQL query. An attacker could inject malicious SQL code by providing a specially crafted username.

Secure Code Warrior Training Material

To learn more about preventing SQL injection attacks, we the following training materials:

SQL Injection (CWE-89)

The following code snippet from libuser.py demonstrates another high-severity SQL injection vulnerability:

def get_user(username):
    query = "SELECT * FROM users WHERE username = '" + username + "'"
    cursor.execute(query)
    return cursor.fetchone()

This code is vulnerable to SQL injection attacks because it directly concatenates user input into the SQL query. An attacker could inject malicious SQL code by providing a specially crafted username.

Secure Code Warrior Training Material

To learn more about preventing SQL injection attacks, we recommend the following training materials:

SQL Injection (CWE-89)

The following code snippet from libuser.py demonstrates another high-severity SQL injection vulnerability:

def get_user(username):
    query = "SELECT * FROM users WHERE username = '" + username + "'"
    cursor.execute(query)
    return cursor.fetchone()

This code is vulnerable to SQL injection attacks because it directly concatenates user input into the SQL query. An attacker could inject malicious SQL code by providing a specially crafted username.

Secure Code Warrior Training Material

To learn more about preventing SQL injection attacks, we recommend the following training materials:

Medium Severity Findings

Hardcoded Password/Credentials (CWE-798)

The following code snippet from vulpy.py demonstrates a medium-severity hardcoded password/credentials vulnerability:

def login(username, password):
    if username == "admin" and password == "password":
        return True
    return False

This code is vulnerable to hardcoded password/credentials attacks because it uses a hardcoded password. An attacker could exploit this vulnerability by guessing the hardcoded password.

Secure Code Warrior Training Material

To learn more about preventing hardcoded password/credentials attacks, we recommend the following training materials:

Hardcoded Password/Credentials (CWE-798)

The following code snippet from vulpy-ssl.py demonstrates another medium-severity hardcoded password/credentials vulnerability:

def login(username, password):
    if username == "admin" and password == "password":
        return True
    return False

This code is vulnerable to hardcoded password/credentials attacks because it uses a hardcoded password. An attacker could exploit this vulnerability by guessing the hardcoded password.

Secure Code Warrior Training Material

To learn more about preventing hardcoded password/credentials attacks, we recommend the following training materials:

Conclusion

In conclusion, this code security report highlights three high-severity findings and two medium-severity findings in the analyzed Python project. The high-severity findings include two SQL injection vulnerabilities and one hardcoded password/credentials vulnerability. The medium-severity findings include two hardcoded password/credentials vulnerabilities. We recommend that the project developers address these vulnerabilities by following the provided training materials and best practices.

Introduction

In our previous article, we discussed the results of a recent scan of a Python project, highlighting three high-severity findings and two medium-severity findings. In this Q&A article, we will address some of the most frequently asked questions related to the findings and provide additional information to help developers understand and address the vulnerabilities.

Q&A

Q: What is SQL injection and how can it be prevented?

A: SQL injection is a type of attack where an attacker injects malicious SQL code into a web application's database to extract or modify sensitive data. To prevent SQL injection, developers should use parameterized queries or prepared statements, which separate the SQL code from the user input. This ensures that the user input is treated as a parameter, rather than part of the SQL code.

Q: What is a hardcoded password/credentials vulnerability and how can it be prevented?

A: A hardcoded password/credentials vulnerability occurs when a web application stores sensitive data, such as passwords or API keys, in a hardcoded format. This makes it easy for attackers to access the sensitive data. To prevent hardcoded password/credentials vulnerabilities, developers should use secure storage mechanisms, such as environment variables or secure key stores, to store sensitive data.

Q: How can I fix the SQL injection vulnerabilities in my code?

A: To fix the SQL injection vulnerabilities in your code, you should use parameterized queries or prepared statements. This involves separating the SQL code from the user input and treating the user input as a parameter. You can use libraries such as sqlite3 or psycopg2 to create parameterized queries.

Q: How can I fix the hardcoded password/credentials vulnerabilities in my code?

A: To fix the hardcoded password/credentials vulnerabilities in your code, you should use secure storage mechanisms, such as environment variables or secure key stores, to store sensitive data. You can also use libraries such as python-dotenv to load environment variables from a file.

Q: What are some best practices for secure coding?

A: Some best practices for secure coding include:

  • Using parameterized queries or prepared statements to prevent SQL injection
  • Using secure storage mechanisms, such as environment variables or secure key stores, to store sensitive data
  • Validating user input to prevent cross-site scripting (XSS) attacks
  • Using secure protocols, such as HTTPS, to encrypt data in transit
  • Regularly updating dependencies and libraries to prevent known vulnerabilities

Q: How can I get help with fixing the vulnerabilities in my code?

A: If you need help with fixing the vulnerabilities in your code, you can try the following:

  • Consult the documentation for the libraries and frameworks you are using
  • Search online for tutorials and guides on secure coding
  • Reach out to a mentor or colleague for guidance
  • Consider hiring a security consultant or penetration tester to review your code and provide recommendations

Conclusion

In conclusion, this Q&A article provides additional information and guidance on addressing the vulnerabilities highlighted in our previous article. By following best practices for secure coding and using secure storage mechanisms, developers can prevent SQL injection and hardcoded password/credentials vulnerabilities. If you have any further questions or need help with fixing the vulnerabilities in your code,'t hesitate to reach out.