Code Security Report: High-Severity SQL Injection Risks

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Hey guys! Here's a breakdown of the latest code security scan results. We've got some important findings to address, so let's dive in. This report focuses on the SAST-UP-PROD-saas-eu-ws project, specifically the SAST-Test-Repo-219d7807-75cd-4766-abd0-968c9063d2ab repository. The primary focus is on SQL Injection vulnerabilities and hardcoded credentials.

Scan Overview

Our latest scan, completed on October 12, 2025, at 06:16 AM, analyzed 19 project files and identified 5 findings in total. The scan specifically detected that the programming language used was Python. It's worth noting that all 5 findings are new, highlighting the importance of this assessment. No findings have been marked as resolved yet, so we need to focus on remediation efforts. Let's get into the details, shall we?

High-Severity Findings: SQL Injection Deep Dive

The report flagged three high-severity vulnerabilities related to SQL Injection. These are serious issues that could allow attackers to manipulate database queries, potentially leading to data breaches or unauthorized access. The Common Weakness Enumeration (CWE) for this vulnerability is CWE-89. This means that there are three separate instances of SQL Injection, which is something we really need to fix. Here's a closer look at each one:

Finding 1: SQL Injection in libuser.py (Line 25)

The first high-severity finding is located in the libuser.py file, specifically on line 25. The vulnerability involves SQL Injection. The provided data flow indicates the path of the vulnerability within the code, which can be used to help remediate the problem. This finding was detected during the latest scan on October 12, 2025, at 06:16 AM. This is one of those things where attackers can inject malicious SQL code to get information from the database. So, very bad!

Finding 2: SQL Injection in libuser.py (Line 12)

Another high-severity finding is in libuser.py on line 12. This is also a SQL Injection vulnerability, and it poses a similar risk as the previous finding. The data flow helps show how the malicious code can be inserted, providing insights into how to fix the issue. This finding also appeared in the recent scan on October 12, 2025, at 06:16 AM. The fact that there are multiple instances of this type of vulnerability in the same file is a clear sign of the need for immediate attention. We need to use parameterized queries or prepared statements to make sure we don’t have this type of vulnerability. We should make sure any user input that goes into an SQL query is safe.

Finding 3: SQL Injection in libuser.py (Line 53)

And the third high-severity finding is located in libuser.py on line 53. This is yet another instance of SQL Injection, detected during the same scan. The presence of this finding reinforces the need to thoroughly review the libuser.py file and implement robust security measures. The data flow information is available and will give more context on the situation, which will help. These are all the same vulnerability! Three SQL injection vulnerabilities in one file. It's a sign that we need to focus on defense in depth and security best practices.

Medium-Severity Findings: Hardcoded Credentials

In addition to the SQL Injection vulnerabilities, the report also identified two medium-severity findings related to hardcoded passwords or credentials. This is a serious security risk. Hardcoding sensitive information in the code means that an attacker could easily find and exploit these credentials. The CWE for this is CWE-798.

Finding 4: Hardcoded Credentials in vulpy.py (Line 16)

The first instance of hardcoded credentials is found in vulpy.py on line 16. This finding, detected on October 12, 2025, at 06:16 AM, highlights a potential security risk that needs to be addressed. This can be prevented by using environment variables, configuration files, or a secrets management system.

Finding 5: Hardcoded Credentials in vulpy-ssl.py (Line 13)

The second instance of hardcoded credentials is in vulpy-ssl.py on line 13. Like the previous finding, this represents a security risk that must be resolved promptly. This finding also appeared on the latest scan, and it's a crucial reminder to avoid hardcoding any sensitive information directly in the code. Always use secure methods for managing credentials.

Remediation and Recommendations

To address these vulnerabilities, consider the following:

  1. SQL Injection: Implement parameterized queries or prepared statements to prevent SQL Injection attacks. Always validate and sanitize user inputs before incorporating them into SQL queries. The links below provide helpful information.
  2. Hardcoded Credentials: Replace hardcoded credentials with secure methods of storing and managing secrets, such as environment variables, configuration files, or a secrets management system. Always follow the least privilege principle.
  3. Code Review: Conduct a thorough code review, especially of the affected files (libuser.py, vulpy.py, and vulpy-ssl.py). This will help identify the root causes and ensure that similar vulnerabilities are not present elsewhere in the codebase.
  4. Training: Provide security training to developers on secure coding practices, including how to prevent SQL Injection and handle credentials securely. The Secure Code Warrior training material provides resources that can help.
  5. Regular Scanning: Continue to perform regular code security scans to detect and address vulnerabilities proactively.

Secure Code Warrior Training Material

Here is some helpful training material from Secure Code Warrior: This will help with the remediation.

SQL Injection

Hardcoded Password/Credentials

Further Reading

Here are some links to external resources with extra information:

SQL Injection

This report underscores the need to take immediate action to address these vulnerabilities. By implementing the recommended remediation steps and staying proactive about code security, we can significantly improve the security posture of our applications.

That's all folks. Let's get these fixed ASAP!