Code Security Report: High-Severity Findings

Overview

This code security report details the findings from a recent scan of the 'SAST-Test-Repo-ccbfc526-3662-4534-8a41-3c9681020500' repository. The scan, completed on October 28, 2025, at 10:54 PM, identified a total of five vulnerabilities, with all of them being new findings. The report highlights three high-severity issues, emphasizing the critical need for immediate attention and remediation. The analysis covered 18 project files, focusing on Python and Secrets, pointing to potential risks within the codebase. The following sections provide a detailed look at the vulnerabilities detected, including their types, locations, and potential impact.

High-Severity Findings: Deep Dive into SQL Injection

Understanding the Threat

SQL Injection vulnerabilities pose a significant threat to application security. These vulnerabilities occur when user-supplied data is not properly sanitized before being used in SQL queries. Attackers can exploit this by injecting malicious SQL code into input fields, potentially gaining unauthorized access to sensitive data, modifying data, or even taking control of the entire database server. The three high-severity findings in this report highlight this critical issue, underscoring the importance of robust input validation and secure coding practices. Identifying and fixing these vulnerabilities are paramount for maintaining the integrity and confidentiality of the data stored within the application.

Finding 1: libuser.py - SQL Injection at Line 12

The first high-severity finding is located in libuser.py at line 12. This finding indicates a potential SQL Injection vulnerability, specifically categorized under CWE-89. The data flow analysis reveals two distinct data flows that lead to this vulnerability, which means the point where user input enters the application is not properly handled before being used in a SQL query. The details section provides specific information about the vulnerable code, the data flow, and potential remediation strategies.

This vulnerability could allow attackers to execute arbitrary SQL commands, leading to data breaches or other security incidents. The remediation suggestions include using parameterized queries to safely inject user input into SQL statements, preventing any SQL injection attacks.

Finding 2: libuser.py - SQL Injection at Line 25

Another high-severity SQL Injection vulnerability is identified in libuser.py at line 25, which also falls under CWE-89. Similar to the previous finding, this vulnerability is associated with two data flows, emphasizing the potential for exploitation through multiple entry points within the application. The vulnerable code snippet, detailed data flows, and the recommended remediation steps are available for review.

The presence of this vulnerability underscores the need for thorough code reviews and the implementation of secure coding practices across the entire codebase. The remediation suggestions are similar to the previous finding by using parameterized queries to safely inject user input into SQL statements, preventing any SQL injection attacks.

Finding 3: libuser.py - SQL Injection at Line 53

The third high-severity issue, again an SQL Injection vulnerability, is found in libuser.py at line 53, also classified under CWE-89. This finding has one associated data flow, highlighting the specific path through which the vulnerability can be exploited. This information can be used to understand the flow of data through the program. The details include the exact code, data flow, and suggested remedies for this vulnerability.

Addressing this vulnerability is crucial to safeguard the application from unauthorized access and data manipulation. The remediation suggestions are similar to the previous finding by using parameterized queries to safely inject user input into SQL statements, preventing any SQL injection attacks.

Medium-Severity Findings: Hardcoded Credentials

Understanding the Risk

Hardcoded credentials are a significant security risk. Storing passwords or other sensitive authentication information directly in the code makes it easy for attackers to access these credentials. This can lead to unauthorized access to systems, data breaches, and other security incidents. The two medium-severity findings in this report point out these vulnerabilities and emphasize the importance of secure credential management.

Finding 4: vulpy-ssl.py - Hardcoded Password/Credentials at Line 13

The first medium-severity finding reveals hardcoded credentials in vulpy-ssl.py at line 13. This finding, categorized under CWE-798, indicates the direct inclusion of sensitive authentication information within the source code. This specific vulnerability is associated with one data flow. The details section provides the vulnerable code snippet and the data flow.

This issue could lead to unauthorized access if the hardcoded credentials are used to access any protected resources. It's important to replace hardcoded credentials with a more secure method of authentication, like environment variables.

Finding 5: vulpy.py - Hardcoded Password/Credentials at Line 16

The second medium-severity finding, also involving hardcoded credentials, is located in vulpy.py at line 16. This is also categorized under CWE-798 and is associated with one data flow. The details section presents the vulnerable code and its associated data flow.

The presence of hardcoded credentials in the code poses a direct security risk, which can easily be exploited. To mitigate this risk, replace hardcoded credentials with a more secure method of authentication.

Conclusion and Recommendations

This code security report highlights several critical vulnerabilities within the 'SAST-Test-Repo-ccbfc526-3662-4534-8a41-3c9681020500' repository. The three high-severity SQL Injection findings require immediate attention to prevent potential data breaches and unauthorized access. Additionally, the two medium-severity findings of Hardcoded Password/Credentials must be addressed to enhance overall security.

We recommend implementing the remediation suggestions provided in the report, including using parameterized queries to prevent SQL injection and avoiding the hardcoding of credentials by employing secure storage mechanisms such as environment variables. Regular code reviews, security testing, and adherence to secure coding practices are essential to prevent future vulnerabilities. Proactive security measures are key to protecting the codebase from potential security threats.

For additional information and resources on SQL Injection and secure coding practices, please refer to the following:

• OWASP (https://owasp.org/)