Security Alert: High Severity Vulnerabilities Detected

Alex Johnson
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Security Alert: High Severity Vulnerabilities Detected

Stay ahead of potential threats with our latest code security report. This comprehensive analysis identifies key vulnerabilities in your project, helping you to secure your application and protect your data. Our detailed findings provide actionable insights to mitigate risks and ensure a robust security posture. Let's dive into the specifics of the scan, the types of vulnerabilities detected, and how you can address them effectively.

Scan Metadata

Latest Scan: 2025-11-16 03:32am

The most recent scan was conducted on November 16, 2025, at 3:32 AM. This ensures that you have the latest information on your project's security status. Regular scans are crucial for identifying new vulnerabilities and maintaining a secure codebase. Understanding the timing of the scan helps in tracking when potential vulnerabilities were introduced or resolved. Keep in mind that this data provides a snapshot of your security landscape at a specific point in time, making continuous monitoring essential for comprehensive protection.

Total Findings: 5 | New Findings: 5 | Resolved Findings: 0

The scan identified a total of 5 findings, all of which are new. This indicates that these vulnerabilities have not been previously detected and require immediate attention. The absence of resolved findings suggests that no prior vulnerabilities have been addressed since the last scan. Addressing these new findings promptly is vital to prevent potential exploits and maintain a strong security posture. Regularly reviewing and resolving findings is a key practice in ensuring continuous security improvement.

Tested Project Files: 19

The scan covered 19 project files, providing a broad assessment of your codebase. Testing a significant number of files increases the likelihood of identifying potential vulnerabilities across different parts of your project. Knowing the scope of the scan helps in understanding the coverage and identifying areas that may require additional scrutiny. Ensure that all critical files are included in the scan to get a comprehensive security overview.

Detected Programming Languages: 1 (Python*)

The scan detected Python as the primary programming language used in the project. This information is crucial for tailoring security measures and using language-specific tools and techniques to address vulnerabilities. Understanding the programming language helps in focusing on relevant security best practices and mitigation strategies. For Python projects, this includes being aware of common vulnerabilities such as SQL injection, cross-site scripting (XSS), and insecure deserialization.

Manual Scan Trigger

  • [ ] Check this box to manually trigger a scan

You can manually trigger a scan by checking the provided box. This feature allows you to initiate a security assessment on demand, providing flexibility in your development workflow. Manual scans are useful when you've made significant code changes or want to verify the effectiveness of implemented security measures. By manually triggering scans, you can proactively manage and maintain the security of your project.

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Finding Details

SeverityVulnerability TypeCWEFileData FlowsDetected
HighSQL Injection

CWE-89

libuser.py:53

12025-11-16 03:32am
Vulnerable Code

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-ab5e17eb-cb43-4454-9344-96de4299df60/blob/b6882e5701292eb06da1cf65d0d80829a27385c1/bad/libuser.py#L48-L53

1 Data Flow/s detected

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-ab5e17eb-cb43-4454-9344-96de4299df60/blob/b6882e5701292eb06da1cf65d0d80829a27385c1/bad/libuser.py#L53

Secure Code Warrior Training Material

● Training

   ▪ Secure Code Warrior SQL Injection Training

● Videos

   ▪ Secure Code Warrior SQL Injection Video

● Further Reading

   ▪ OWASP SQL Injection Prevention Cheat Sheet

   ▪ OWASP SQL Injection

   ▪ OWASP Query Parameterization Cheat Sheet

   ▪ Preventing SQL Injection Attacks With Python

Suppress Finding
  • [ ] ... as False Alarm
  • [ ] ... as Acceptable Risk

Note: GitHub may take a few seconds to process actions triggered via checkboxes. Please wait until the change is visible before continuing.

 
HighSQL Injection

CWE-89

libuser.py:12

12025-11-16 03:32am
Vulnerable Code

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-ab5e17eb-cb43-4454-9344-96de4299df60/blob/b6882e5701292eb06da1cf65d0d80829a27385c1/bad/libuser.py#L7-L12

1 Data Flow/s detected

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-ab5e17eb-cb43-4454-9344-96de4299df60/blob/b6882e5701292eb06da1cf65d0d80829a27385c1/bad/libuser.py#L12

Secure Code Warrior Training Material

● Training

   ▪ Secure Code Warrior SQL Injection Training

● Videos

   ▪ Secure Code Warrior SQL Injection Video

● Further Reading

   ▪ OWASP SQL Injection Prevention Cheat Sheet

   ▪ OWASP SQL Injection

   ▪ OWASP Query Parameterization Cheat Sheet

   ▪ Preventing SQL Injection Attacks With Python

Suppress Finding
  • [ ] ... as False Alarm
  • [ ] ... as Acceptable Risk

Note: GitHub may take a few seconds to process actions triggered via checkboxes. Please wait until the change is visible before continuing.

 
HighSQL Injection

CWE-89

libuser.py:25

12025-11-16 03:32am
Vulnerable Code

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-ab5e17eb-cb43-4454-9344-96de4299df60/blob/b6882e5701292eb06da1cf65d0d80829a27385c1/bad/libuser.py#L20-L25

1 Data Flow/s detected

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-ab5e17eb-cb43-4454-9344-96de4299df60/blob/b6882e5701292eb06da1cf65d0d80829a27385c1/bad/libuser.py#L25

Secure Code Warrior Training Material

● Training

   ▪ Secure Code Warrior SQL Injection Training

● Videos

   ▪ Secure Code Warrior SQL Injection Video

● Further Reading

   ▪ OWASP SQL Injection Prevention Cheat Sheet

   ▪ OWASP SQL Injection

   ▪ OWASP Query Parameterization Cheat Sheet

   ▪ Preventing SQL Injection Attacks With Python

Suppress Finding
  • [ ] ... as False Alarm
  • [ ] ... as Acceptable Risk

Note: GitHub may take a few seconds to process actions triggered via checkboxes. Please wait until the change is visible before continuing.

 
MediumHardcoded Password/Credentials

CWE-798

vulpy.py:16

12025-11-16 03:32am
Vulnerable Code

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-ab5e17eb-cb43-4454-9344-96de4299df60/blob/b6882e5701292eb06da1cf65d0d80829a27385c1/bad/vulpy.py#L16

Secure Code Warrior Training Material

● Training

   ▪ Secure Code Warrior Hardcoded Password/Credentials Training

● Videos

   ▪ Secure Code Warrior Hardcoded Password/Credentials Video

Suppress Finding
  • [ ] ... as False Alarm
  • [ ] ... as Acceptable Risk

Note: GitHub may take a few seconds to process actions triggered via checkboxes. Please wait until the change is visible before continuing.

 
MediumHardcoded Password/Credentials

CWE-798

vulpy-ssl.py:13

12025-11-16 03:32am
Vulnerable Code

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-ab5e17eb-cb43-4454-9344-96de4299df60/blob/b6882e5701292eb06da1cf65d0d80829a27385c1/bad/vulpy-ssl.py#L13

Secure Code Warrior Training Material

● Training

   ▪ Secure Code Warrior Hardcoded Password/Credentials Training

● Videos

   ▪ Secure Code Warrior Hardcoded Password/Credentials Video

Suppress Finding
  • [ ] ... as False Alarm
  • [ ] ... as Acceptable Risk

Note: GitHub may take a few seconds to process actions triggered via checkboxes. Please wait until the change is visible before continuing.

This detailed code security report highlights critical vulnerabilities that need immediate attention. SQL injection vulnerabilities, classified as high severity, were found in libuser.py at lines 53, 12, and 25. These vulnerabilities could allow attackers to inject malicious SQL code, potentially leading to data breaches or unauthorized access. It is crucial to address these SQL injection flaws by implementing parameterized queries or using an ORM to sanitize inputs. Understanding the data flows associated with these vulnerabilities can help pinpoint the exact source of the issue and ensure comprehensive remediation.

Hardcoded passwords and credentials were identified as medium severity issues in vulpy.py (line 16) and vulpy-ssl.py (line 13). Hardcoding credentials directly in the code poses a significant risk, as these credentials can be easily discovered by unauthorized individuals, leading to potential system compromises. These hardcoded credentials should be replaced with secure methods of credential management, such as using environment variables, secure configuration files, or dedicated secrets management systems. Regular security training and awareness programs are essential to educate developers about the risks associated with hardcoding sensitive information.

The inclusion of Secure Code Warrior training material provides valuable resources for developers to learn and improve their coding practices. The training modules and videos on SQL injection and hardcoded credentials offer practical guidance on how to avoid these common vulnerabilities. Furthermore, the provided links to OWASP cheat sheets and articles offer in-depth knowledge on security best practices. Leveraging these educational resources can help developers write more secure code and prevent future vulnerabilities.

The report also includes options to suppress findings classified as false alarms or acceptable risks. This feature allows you to manage and prioritize vulnerabilities based on your specific risk tolerance and environment. However, it is important to carefully evaluate each finding before suppressing it, ensuring that the decision is based on a thorough understanding of the potential impact and not simply to reduce the number of reported issues. Regularly reviewing suppressed findings is also recommended to ensure that they remain valid and do not become relevant due to changes in the application or threat landscape.

Finally, to further enhance your understanding of code security and best practices, we recommend visiting the OWASP Foundation, a trusted resource for web application security information.

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