Code Security Report: High-Severity Fixes Needed

by ADMIN 49 views

Hey guys! This code security report highlights some important findings from our recent scan. We've got a few things to address, so let's dive in and make sure our code is safe and sound. This report is designed to keep you informed about the security posture of your code, providing detailed insights into vulnerabilities and offering clear steps for remediation. Your attention to these details is crucial for maintaining a secure and reliable application.

Scan Overview and Key Metrics

Scan Details

Latest Scan: 2025-10-13 10:40PM

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

Tested Project Files: 18

Detected Programming Languages: 2 (Python*, Secrets)

This section gives you a quick snapshot of the scan, so you can see what's new and what needs attention. Keeping track of these metrics is key to maintaining a strong security posture. Each scan provides a fresh look at your code, identifying any new issues and tracking the status of existing ones. The languages detected give us context on the type of vulnerabilities that may exist.

High-Priority Findings

The list below presents the 5 most relevant findings that need your attention, with automatic remediation available for 3 of them.

It's important to focus on the most critical issues first. These are the findings that pose the biggest risks to your application. Make sure you understand the details of each finding, including the affected code and the suggested remediation steps. Prioritizing these findings is the most effective way to improve your security posture quickly.

Severity
Vulnerability Type
CWE
File
Data Flows
Detected
High
SQL Injection
2
2025-10-13 10:40PM
Vulnerable Code

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/9dc19c9a7f61eb8f4841956efc9c3823802cbb96/bad/libuser.py#L8-L17

Data Flows (2 detected)
Data Flow #1
Data Flow #2
Secure Code Warrior Training Material
Remediation Suggestion

Using parameterized queries with the 'sqlite3' module to safely inject the 'username' and 'password' parameters into the SQL statement using placeholders ('?'), preventing SQL injection attacks.

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/a1ed2d7affca35dba8b818565406eac0aa17f44a/diffs/9c6c81de-d8c6-4976-baaf-90985bd5b66b/libuser.py.diff#L1-L62

To open a pull request with this remediation to main, comment:

/mend code remediate pull-request 5c4f1d3e-8a31-435c-980d-71ff7a2565af Your Optional Comment

If you liked or disliked this remediation you can submit feedback by commenting:

/mend code remediate feedback positive 5c4f1d3e-8a31-435c-980d-71ff7a2565af Your Optional Comment

/mend code remediate feedback negative 5c4f1d3e-8a31-435c-980d-71ff7a2565af Your Optional Comment

High
SQL Injection
2
2025-10-13 10:40PM
Vulnerable Code

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/9dc19c9a7f61eb8f4841956efc9c3823802cbb96/bad/libuser.py#L21-L30

Data Flows (2 detected)
Data Flow #1
Data Flow #2
Secure Code Warrior Training Material
Remediation Suggestion

Using parameterized queries with the 'sqlite3' module to safely inject the 'username' and 'password' parameters into the SQL statement using placeholders ('?'), preventing SQL injection attacks.

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/b468135a5bd514018f348c327a686e816b782771/diffs/4dde84ed-f5b8-48e1-b351-61eb44be140f/libuser.py.diff#L1-L62

To open a pull request with this remediation to main, comment:

/mend code remediate pull-request 0cf2ea70-d489-43aa-b58b-e02f4b2fa71f Your Optional Comment

If you liked or disliked this remediation you can submit feedback by commenting:

/mend code remediate feedback positive 0cf2ea70-d489-43aa-b58b-e02f4b2fa71f Your Optional Comment

/mend code remediate feedback negative 0cf2ea70-d489-43aa-b58b-e02f4b2fa71f Your Optional Comment

High
SQL Injection
1
2025-10-13 10:40PM
Vulnerable Code

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/9dc19c9a7f61eb8f4841956efc9c3823802cbb96/bad/libuser.py#L49-L58

Data Flows (1 detected)

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/9dc19c9a7f61eb8f4841956efc9c3823802cbb96/bad/mod_user.py#L69 https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/9dc19c9a7f61eb8f4841956efc9c3823802cbb96/bad/mod_user.py#L80 https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/9dc19c9a7f61eb8f4841956efc9c3823802cbb96/bad/libuser.py#L46 https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/9dc19c9a7f61eb8f4841956efc9c3823802cbb96/bad/libuser.py#L53

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/9dc19c9a7f61eb8f4841956efc9c3823802cbb96/bad/mod_user.py#L69 https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/9dc19c9a7f61eb8f4841956efc9c3823802cbb96/bad/mod_user.py#L80 https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/9dc19c9a7f61eb8f4841956efc9c3823802cbb96/bad/libuser.py#L46 https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/9dc19c9a7f61eb8f4841956efc9c3823802cbb96/bad/libuser.py#L53

Secure Code Warrior Training Material
Remediation Suggestion

Using parameterized queries with the 'sqlite3' module to safely inject the 'username' and 'password' parameters into the SQL statement using placeholders ('?'), preventing SQL injection attacks.

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-4a57baa2-216c-4b62-ae15-679ccf3bce37/blob/20402cc522ec63c5b55042733cfe92cb8003ccd4/diffs/ca308c6c-8a4a-4f5f-9a84-51757a710cf6/libuser.py.diff#L1-L62

To open a pull request with this remediation to main, comment:

/mend code remediate pull-request 4c384c2a-e4ad-42a8-b329-cd8d02664642 Your Optional Comment

If you liked or disliked this remediation you can submit feedback by commenting:

/mend code remediate feedback positive 4c384c2a-e4ad-42a8-b329-cd8d02664642 Your Optional Comment

/mend code remediate feedback negative 4c384c2a-e4ad-42a8-b329-cd8d02664642 Your Optional Comment

These SQL Injection vulnerabilities are critical. Exploiting these could lead to serious data breaches. Parameterized queries, as suggested, are essential for preventing such attacks. The links to the vulnerable code and the suggested fixes are provided to help you solve it. Remember to carefully review the code and apply the recommended changes. Utilizing parameterized queries is a best practice for all your database interactions.

Medium-Severity Findings: Addressing Hardcoded Credentials

Next, let's look at the Hardcoded Password/Credentials issues. These findings are less severe than SQL injection but are still important to fix. Hardcoded credentials create a significant security risk. Anyone with access to the codebase can potentially use these credentials. The best practice is to never hardcode sensitive information like passwords or API keys directly into your code.

Findings Details

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

Here are the hardcoded credential findings:

  • vulpy-ssl.py:13: This file contains a hardcoded credential. The link to the vulnerable code is provided so you can quickly find it.
  • vulpy.py:16: Another hardcoded credential. Similar to the above, the location of this code is specified. These types of vulnerabilities are very easy to exploit, so it's best to address them immediately. Implement secure storage mechanisms. These include environment variables or configuration files that are not stored in the codebase. Use a robust secrets management system for production environments.

Remediation Steps for Hardcoded Credentials

  1. Remove Hardcoded Credentials: First and foremost, remove the hardcoded passwords and API keys from your code. Do not commit or push any code with sensitive information in plain text.
  2. Environment Variables: Store sensitive data in environment variables. You can then access these variables within your code.
  3. Configuration Files: Use a configuration file to store your credentials. Make sure you don't commit this configuration file to your repository. Protect the configuration file with appropriate file permissions to limit access.

Why These Fixes Matter

Addressing these issues is essential for your application's security. It protects your data and your users. Keeping your code secure is an ongoing process. Address these findings quickly. Regularly review your code to identify and address security vulnerabilities.

Additional Resources for Security Best Practices

  • OWASP: The Open Web Application Security Project (OWASP) offers resources on various security topics, including SQL injection and credential management.
  • Secure Code Warrior: Secure Code Warrior provides training to help you better understand and prevent security vulnerabilities.
  • Snyk: Snyk is a developer-first security platform that helps you find and fix vulnerabilities in your code.

That's all for now. Please let me know if you have any questions or need further help. Let's make our code more secure!