Code Security Report Analysis 3 High Severity SQL Injection And Hardcoded Credentials Findings

by StackCamp Team 95 views

In this comprehensive code security report, we delve into the findings from the latest Static Application Security Testing (SAST) scan conducted on the SAST-Test-Repo-e58cadb7-3212-449f-8f58-4de5982ba643 repository. The scan, executed on July 5, 2025, at 09:29 PM, revealed a total of 5 findings, all of which are new. This report highlights the critical vulnerabilities detected, focusing on SQL Injection and Hardcoded Credentials, and provides actionable insights to mitigate these risks. The scanned project encompasses 19 files, primarily written in Python. Addressing these vulnerabilities is crucial to ensure the security and integrity of the application.

Scan Metadata

Latest Scan

The latest scan was performed on 2025-07-05 at 09:29 PM. This scan provides the most current snapshot of the repository's security posture. Regular scans are essential to continuously monitor for vulnerabilities and ensure that the codebase remains secure. Keeping track of the scan history helps in identifying trends and patterns in the introduction and resolution of vulnerabilities.

Total Findings

The scan identified a total of 5 findings, all of which are classified as new. This indicates that these vulnerabilities were not present in previous scans and require immediate attention. The breakdown includes 3 high-severity findings related to SQL Injection and 2 medium-severity findings concerning Hardcoded Password/Credentials. Addressing these new findings promptly is crucial to prevent potential exploits.

Tested Project Files

A total of 19 project files were tested during the scan. This comprehensive coverage ensures that all parts of the application are assessed for potential vulnerabilities. The scan effectively analyzed the codebase, identifying flaws in various files, including libuser.py and vulpy.py. Understanding which files are vulnerable helps in prioritizing remediation efforts.

Detected Programming Languages

The primary programming language detected in the scanned files is Python. Python is a versatile language, but like any other, it is susceptible to vulnerabilities if not handled securely. The identified SQL Injection and Hardcoded Credentials issues highlight the need for secure coding practices in Python development. Awareness of language-specific vulnerabilities is crucial for developers.

Detailed Finding Analysis

This section provides an in-depth analysis of the vulnerabilities detected during the scan. The focus is on the high-severity SQL Injection flaws and the medium-severity Hardcoded Password/Credentials issues. Each finding is detailed with its severity, vulnerability type, CWE (Common Weakness Enumeration), affected file, data flows, and detection timestamp. Understanding the specifics of each vulnerability is essential for effective remediation.

High Severity Findings: SQL Injection

SQL Injection vulnerabilities are critical security flaws that can allow attackers to manipulate database queries, potentially leading to unauthorized access, data breaches, or data corruption. The scan identified three high-severity SQL Injection vulnerabilities, all located in the libuser.py file. These vulnerabilities require immediate attention due to the significant risk they pose to the application's data and functionality.

SQL Injection in libuser.py:12

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:12
  • Data Flows: 1
  • Detected: 2025-07-05 09:29 PM

This instance of SQL Injection occurs in libuser.py at line 12. The vulnerability arises from unsanitized user input being directly incorporated into a SQL query. Attackers can exploit this by injecting malicious SQL code, potentially bypassing security measures and gaining access to sensitive data. The vulnerable code snippet can be found here.

Data Flow Analysis
  • The data flow analysis indicates that user input is directly used in the SQL query without proper sanitization. This lack of input validation is the root cause of the vulnerability. The specific data flow detected is visible here.
Secure Code Warrior Training Material

To understand and remediate this vulnerability, the following resources are recommended:

Remediation Recommendations
  • Use parameterized queries or prepared statements: These techniques ensure that user input is treated as data, not as executable SQL code.
  • Input validation and sanitization: Implement strict input validation to ensure that only expected data is processed.
  • Least privilege principle: Ensure that the database user has only the necessary permissions to perform its tasks.

SQL Injection in libuser.py:53

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:53
  • Data Flows: 1
  • Detected: 2025-07-05 09:29 PM

Another critical SQL Injection vulnerability is located in libuser.py at line 53. Similar to the previous finding, this vulnerability stems from the direct embedding of user-supplied data into a SQL query. This can lead to severe security implications, including data manipulation and unauthorized access. The vulnerable code snippet is available here.

Data Flow Analysis
  • The data flow analysis highlights the path of user input directly into the SQL query, bypassing any form of validation or sanitization. This direct injection path is the primary enabler of the SQL Injection attack. The specific data flow can be found here.
Secure Code Warrior Training Material

For training and remediation guidance, the following resources are recommended:

Remediation Recommendations
  • Implement parameterized queries: Use parameterized queries to ensure that user input is treated as data and not SQL code.
  • Sanitize user input: Apply strict input validation and sanitization techniques to prevent injection attacks.
  • Apply the principle of least privilege: Grant database users only the necessary permissions.

SQL Injection in libuser.py:25

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:25
  • Data Flows: 1
  • Detected: 2025-07-05 09:29 PM

The third high-severity SQL Injection vulnerability is found in libuser.py at line 25. This vulnerability, like the others, is due to the unsafe incorporation of user input into a SQL query. This presents a significant security risk, potentially allowing attackers to execute arbitrary SQL commands. The vulnerable code is accessible here.

Data Flow Analysis
  • The data flow analysis clearly shows that user input is directly concatenated into the SQL query without proper encoding or validation. This direct injection path makes the application susceptible to SQL Injection attacks. The specific data flow is visible here.
Secure Code Warrior Training Material

To effectively address this vulnerability, the following resources are recommended:

Remediation Recommendations
  • Implement parameterized queries or stored procedures: Use parameterized queries or stored procedures to prevent SQL injection by ensuring user input is treated as data.
  • Validate user input: Implement robust input validation to ensure that only safe characters are used in queries.
  • Apply least privilege: Ensure that the database user account has the minimum necessary permissions.

Medium Severity Findings: Hardcoded Password/Credentials

Hardcoded Password/Credentials are a significant security risk, as they can be easily discovered and exploited by attackers. The scan identified two medium-severity findings related to hardcoded credentials in the files vulpy.py and vulpy-ssl.py. These vulnerabilities can lead to unauthorized access and potential data breaches.

Hardcoded Password/Credentials in vulpy.py:16

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: vulpy.py:16
  • Data Flows: 1
  • Detected: 2025-07-05 09:29 PM

This finding indicates the presence of hardcoded credentials in vulpy.py at line 16. Storing credentials directly in the code poses a significant security risk, as it makes them easily accessible to anyone who can view the source code. The vulnerable code can be found here.

Secure Code Warrior Training Material

To address this vulnerability effectively, the following resources are recommended:

Remediation Recommendations
  • Use environment variables: Store sensitive information like passwords and API keys in environment variables.
  • Implement secure configuration management: Use secure configuration management tools to handle credentials.
  • Avoid storing credentials in code: Never hardcode passwords or other sensitive information directly in the source code.

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

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: vulpy-ssl.py:13
  • Data Flows: 1
  • Detected: 2025-07-05 09:29 PM

Another instance of hardcoded credentials is found in vulpy-ssl.py at line 13. This finding further emphasizes the need for secure credential management practices within the codebase. Hardcoding credentials in SSL-related files can severely compromise the security of encrypted communications. The vulnerable code is available here.

Secure Code Warrior Training Material

For effective remediation, the following resources are recommended:

Remediation Recommendations
  • Use secure credential storage: Implement secure storage mechanisms such as key vaults or encrypted configuration files.
  • Avoid hardcoding: Never hardcode sensitive credentials in the application code.
  • Rotate credentials regularly: Regularly rotate passwords and API keys to minimize the impact of potential breaches.

Conclusion and Recommendations

In conclusion, this code security report highlights the critical vulnerabilities detected in the SAST-Test-Repo-e58cadb7-3212-449f-8f58-4de5982ba643 repository. The presence of three high-severity SQL Injection vulnerabilities and two medium-severity Hardcoded Password/Credentials issues underscores the need for immediate and comprehensive remediation efforts. Addressing these vulnerabilities is essential to protect the application from potential attacks and data breaches.

To ensure the ongoing security of the codebase, the following recommendations should be implemented:

  1. Prioritize Remediation: Address the high-severity SQL Injection vulnerabilities in libuser.py immediately, followed by the medium-severity Hardcoded Password/Credentials issues in vulpy.py and vulpy-ssl.py.
  2. Implement Secure Coding Practices: Enforce secure coding practices, including input validation, parameterized queries, and secure credential management.
  3. Continuous Security Testing: Integrate SAST tools into the CI/CD pipeline to ensure continuous security testing and early detection of vulnerabilities.
  4. Security Training: Provide developers with regular training on secure coding practices and common vulnerabilities, such as SQL Injection and Hardcoded Credentials.
  5. Credential Management: Implement secure credential management practices, including the use of environment variables, key vaults, and secure configuration management tools.
  6. Regular Scans: Conduct regular security scans to monitor the codebase for new vulnerabilities and ensure that existing issues are addressed promptly.

By implementing these recommendations, the security posture of the application can be significantly improved, reducing the risk of potential attacks and ensuring the confidentiality, integrity, and availability of sensitive data.