Security Alert: High Severity Vulnerabilities Detected

by Alex Johnson 55 views

This code security report highlights critical vulnerabilities detected in the SAST-Test-Repo-6291de08-060a-4db5-a85f-b5b9a0a559af repository. The scan, conducted on November 13, 2025, revealed a total of five findings, all of which are new. A concerning aspect of this report is the presence of three high-severity vulnerabilities related to SQL Injection, alongside two medium-severity issues concerning hardcoded credentials. Addressing these findings promptly is crucial to maintaining the security and integrity of the application.

Scan Metadata

  • Latest Scan: 2025-11-13 09:35AM
  • Total Findings: 5 | New Findings: 5 | Resolved Findings: 0
  • Tested Project Files: 18
  • Detected Programming Languages: 2 (Python*, Secrets)

Most Relevant Findings: Diving Deep into Vulnerabilities

This section provides a detailed breakdown of the most critical vulnerabilities identified during the scan. It's essential to understand the nature of these vulnerabilities, their potential impact, and the recommended steps for remediation. The focus here is on providing actionable insights that developers can use to quickly address these security concerns.

High Severity: SQL Injection Vulnerabilities

SQL Injection remains one of the most prevalent and dangerous web application vulnerabilities. It occurs when user-supplied data is inserted into a SQL query without proper sanitization, allowing attackers to potentially execute arbitrary SQL code. The consequences can be severe, ranging from data breaches and data corruption to complete server compromise.

1. libuser.py:12 - SQL Injection

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:12
  • Data Flows: 2
  • Detected: 2025-11-13 09:35AM
  • Violated Workflows: SAST-workflow93ed64a4-aa70-4f25-a404-4e8c1db26bad
  • Violation Priority: HIGH

Vulnerable Code Snippet:

The vulnerable code resides within the libuser.py file, specifically around line 12. This section of code constructs a SQL query using string concatenation, directly embedding user-provided input without proper sanitization. This allows an attacker to manipulate the query by injecting malicious SQL code, potentially bypassing authentication, accessing sensitive data, or even modifying the database. The data flows detected highlight the path of user-supplied data from the mod_user.py module to the vulnerable SQL query in libuser.py. Understanding these data flows is crucial for tracing the vulnerability and implementing effective remediation measures.

Remediation Suggestion:

The recommended solution is to use parameterized queries. Parameterized queries, also known as prepared statements, separate the SQL code from the data. Instead of directly embedding user input into the query string, placeholders are used. The database driver then handles the proper escaping and sanitization of the data before it is inserted into the query. This effectively prevents SQL injection attacks.The provided diff demonstrates how to implement parameterized queries using the sqlite3 module in Python. By using placeholders ('?') to inject the 'username' and 'password' parameters into the SQL statement, the code ensures that the data is treated as data and not as executable SQL code.

Secure Code Warrior Training Material:

2. libuser.py:25 - SQL Injection

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:25
  • Data Flows: 2
  • Detected: 2025-11-13 09:35AM
  • Violated Workflows: SAST-workflow93ed64a4-aa70-4f25-a404-4e8c1db26bad
  • Violation Priority: HIGH

Vulnerable Code Snippet:

Similar to the previous finding, this instance of SQL Injection occurs in libuser.py, but this time around line 25. The root cause remains the same: direct embedding of user-supplied data into a SQL query without proper sanitization. The data flows highlight the path of user input from mod_user.py to the vulnerable query, emphasizing the need for a holistic approach to input validation and sanitization across the application. Addressing this vulnerability requires implementing the same parameterized query approach as suggested for the previous finding.

Remediation Suggestion:

Again, the solution involves using parameterized queries with the sqlite3 module. This ensures that user-provided data is treated as data and not as executable code, effectively preventing SQL injection attacks. The provided diff demonstrates the implementation of parameterized queries for this specific code location.

Secure Code Warrior Training Material:

3. libuser.py:53 - SQL Injection

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:53
  • Data Flows: 1
  • Detected: 2025-11-13 09:35AM
  • Violated Workflows: SAST-workflow93ed64a4-aa70-4f25-a404-4e8c1db26bad
  • Violation Priority: HIGH

Vulnerable Code Snippet:

This final SQL Injection vulnerability in libuser.py, located around line 53, reinforces the critical need to address the underlying pattern of unsafe query construction. The data flow detected traces user input from mod_user.py to the vulnerable SQL query, highlighting the importance of secure coding practices throughout the application's codebase.

Remediation Suggestion:

The recommended remediation is, once again, to implement parameterized queries with the sqlite3 module. This approach ensures that user-supplied data is properly escaped and sanitized before being used in SQL queries, preventing malicious code injection. The provided diff illustrates the necessary code changes to implement parameterized queries at this specific location.

Secure Code Warrior Training Material:

Medium Severity: Hardcoded Password/Credentials

Hardcoding passwords or credentials directly into the source code is a significant security risk. If the code is compromised, attackers can easily gain access to sensitive systems and data. It's crucial to avoid hardcoding credentials and instead use secure methods for managing and accessing them.

1. vulpy-ssl.py:13 - Hardcoded Password/Credentials

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: vulpy-ssl.py:13
  • Data Flows: 1
  • Detected: 2025-11-13 09:35AM

Vulnerable Code Snippet:

The vulpy-ssl.py file contains a hardcoded password or credential on line 13. This means that the password is directly embedded within the source code, making it easily accessible to anyone who can view the code. This is a serious security risk that needs to be addressed immediately. The data flow detected points directly to the hardcoded credential, confirming its presence in the code.

Remediation Suggestion:

The recommended solution is to remove the hardcoded credential and replace it with a secure method for managing credentials. This could involve using environment variables, configuration files, or a dedicated secrets management system. The specific approach will depend on the requirements of the application, but the key is to avoid storing credentials directly in the code.

Secure Code Warrior Training Material:

2. vulpy.py:16 - Hardcoded Password/Credentials

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: vulpy.py:16
  • Data Flows: 1
  • Detected: 2025-11-13 09:35AM

Vulnerable Code Snippet:

Similar to the previous finding, the vulpy.py file contains a hardcoded password or credential on line 16. This reinforces the need to implement secure credential management practices across the entire application. The detected data flow highlights the presence of the hardcoded credential in the code.

Remediation Suggestion:

As with the previous finding, the solution involves removing the hardcoded credential and replacing it with a secure method for managing credentials, such as environment variables or a secrets management system.

Secure Code Warrior Training Material:

Findings Overview

Severity Vulnerability Type CWE Language Count
High SQL Injection CWE-89 Python* 3
Medium Hardcoded Password/Credentials CWE-798 Python* 2

Conclusion

This code security report reveals critical vulnerabilities that require immediate attention. The presence of three high-severity SQL Injection vulnerabilities and two medium-severity hardcoded credential issues poses a significant risk to the application's security. By implementing the recommended remediation steps, such as using parameterized queries and secure credential management practices, the development team can significantly improve the application's security posture.

For more information on secure coding practices, visit the OWASP Foundation website.