Code Security Report: High Severity Findings In SAST-Test-Repo

Alex Johnson
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Code Security Report: High Severity Findings In SAST-Test-Repo

Hey guys! Let's dive into the code security report for the SAST-Test-Repo, focusing on the main branch. We've got some findings to discuss, including 3 high-severity issues and a total of 5 findings. This report will break down the vulnerabilities, where they're located, and how we can fix them. So, let's get started and make our code more secure!

Scan Metadata: The Big Picture

Before we jump into the nitty-gritty, let’s check out the scan metadata. This gives us a bird's-eye view of the situation. The latest scan was conducted on October 9, 2025, at 10:57 PM. We found a total of 5 findings, all of which are new. That means we haven't seen these before, and it's crucial to address them promptly. The scan covered 18 tested project files and detected 2 programming languages: Python and Secrets.

  • Latest Scan: 2025-10-09 10:57 PM
  • Total Findings: 5
  • New Findings: 5
  • Resolved Findings: 0
  • Tested Project Files: 18
  • Detected Programming Languages: 2 (Python*, Secrets)

Most Relevant Findings: Time to Focus!

Alright, let's zero in on the findings that demand our immediate attention. This section highlights the 5 most relevant issues, and guess what? Automatic remediation is available for 3 of them! How cool is that? We've got a head start on fixing these vulnerabilities. Let's go through them one by one.

High Severity: SQL Injection in libuser.py:12

Our first major finding is a high-severity SQL Injection vulnerability in libuser.py at line 12. SQL Injection, guys, is a nasty beast! It's categorized under CWE-89, which basically means an attacker could manipulate our database queries to gain unauthorized access or modify data. Not good! This vulnerability was detected on October 9, 2025, at 10:58 PM and has 2 data flows, indicating multiple paths through which the vulnerability can be exploited.

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:12
  • Data Flows: 2
  • Detected: 2025-10-09 10:58 PM

Vulnerable Code: Spotting the Issue

Let's get our hands dirty and look at the vulnerable code. The issue lies within the libuser.py file, specifically between lines 8 and 17. Here’s a snippet to give you a clearer picture:

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-d1516d85-0314-416d-b876-d6f7971dc80d/blob/07d9aab86176fffd95690b4670da97f292ae6af8/bad/libuser.py#L8-L17

Data Flows: Tracing the Threat

Understanding the data flows is crucial. We've got two data flows detected here, which means there are two different ways this vulnerability can be triggered. Data Flow #1 involves these files and lines:

Data Flow #2 includes:

Training Material: Level Up Your Skills

To better understand and prevent SQL Injection, it’s a good idea to check out some training material. Secure Code Warrior has some excellent resources:

Remediation Suggestion: Let's Fix It!

Here comes the good part! We have a remediation suggestion. The recommended fix is to use parameterized queries with the sqlite3 module. This method safely injects the username and password parameters into the SQL statement using placeholders (?), which effectively prevents SQL injection attacks. It's like having a secure gatekeeper for our database!

Here's the diff that shows the proposed changes:

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-d1516d85-0314-416d-b876-d6f7971dc80d/blob/80c5a399ce76a54131a3f3e0c04cef40f7e37ed3/diffs/eb3b3d83-84f3-4567-9340-df15cf48a8ed/libuser.py.diff#L1-L62

To open a pull request with this remediation, just comment:

/mend code remediate pull-request efa7b59c-7b0b-419d-b856-c7cb32222cb8 Your Optional Comment

If you have any feedback on this remediation, you can submit it using these commands:

/mend code remediate feedback positive efa7b59c-7b0b-419d-b856-c7cb32222cb8 Your Optional Comment
/mend code remediate feedback negative efa7b59c-7b0b-419d-b856-c7cb32222cb8 Your Optional Comment

High Severity: SQL Injection in libuser.py:25

Guess what? We've got another high-severity SQL Injection vulnerability, this time in libuser.py at line 25. Same drill as before – this is under CWE-89 and was detected on October 9, 2025, at 10:58 PM. This one also has 2 data flows, which means it’s a critical issue to address.

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:25
  • Data Flows: 2
  • Detected: 2025-10-09 10:58 PM

Vulnerable Code: Digging Deeper

The vulnerable code snippet is located between lines 21 and 30 in libuser.py:

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-d1516d85-0314-416d-b876-d6f7971dc80d/blob/07d9aab86176fffd95690b4670da97f292ae6af8/bad/libuser.py#L21-L30

Data Flows: Following the Paths

We've got two data flows here as well. Data Flow #1 involves:

Data Flow #2 includes:

Training Material: Sharpening Our Swords

To reinforce our knowledge, let’s revisit those training materials:

Remediation Suggestion: Another Fix on the Horizon!

Great news! We have another remediation suggestion. Just like the previous one, the recommended solution is to use parameterized queries with the sqlite3 module. This will help us securely inject the parameters and prevent those nasty SQL injection attacks.

Here’s the diff with the proposed changes:

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-d1516d85-0314-416d-b876-d6f7971dc80d/blob/855da02071a8eafe1f591dbfadb3c64146759856/diffs/d955ef11-9353-4081-bfaf-489c57f95fd2/libuser.py.diff#L1-L62

To open a pull request, comment:

/mend code remediate pull-request 5cfd3977-0815-453d-a749-c34ba82d1151 Your Optional Comment

To provide feedback, use these commands:

/mend code remediate feedback positive 5cfd3977-0815-453d-a749-c34ba82d1151 Your Optional Comment
/mend code remediate feedback negative 5cfd3977-0815-453d-a749-c34ba82d1151 Your Optional Comment

High Severity: SQL Injection in libuser.py:53

Okay, third time’s the charm, right? We've got another high-severity SQL Injection in libuser.py, this time at line 53. This one falls under CWE-89 and was detected on October 9, 2025, at 10:58 PM. Fortunately, this one has only 1 data flow, but it’s still a critical issue.

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:53
  • Data Flows: 1
  • Detected: 2025-10-09 10:58 PM

Vulnerable Code: Pinpointing the Problem

The vulnerable code is located between lines 49 and 58 in libuser.py:

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-d1516d85-0314-416d-b876-d6f7971dc80d/blob/07d9aab86176fffd95690b4670da97f292ae6af8/bad/libuser.py#L49-L58

Data Flows: Tracing the Path

This vulnerability has one data flow, which includes:

Training Material: Back to School!

Let's quickly check those training resources again:

Remediation Suggestion: Time to Patch

Guess what's coming? That’s right! We have a remediation suggestion. We’re sticking with the plan: use parameterized queries with the sqlite3 module to keep our parameters safe and sound.

Here's the diff for this fix:

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-d1516d85-0314-416d-b876-d6f7971dc80d/blob/b76fdcdf13ddb30f4087457abd67a44452865253/diffs/4ff4a359-2e6a-44d1-b06f-432102e7e0ff/libuser.py.diff#L1-L62

To open a pull request, comment:

/mend code remediate pull-request c7b1113a-eeab-4961-b268-a76923307959 Your Optional Comment

To leave feedback, use these commands:

/mend code remediate feedback positive c7b1113a-eeab-4961-b268-a76923307959 Your Optional Comment
/mend code remediate feedback negative c7b1113a-eeab-4961-b268-a76923307959 Your Optional Comment

Medium Severity: Hardcoded Credentials in vulpy-ssl.py:13

Moving on, we've got a medium-severity issue: Hardcoded Password/Credentials in vulpy-ssl.py at line 13. This falls under CWE-798, which means we've got sensitive information right there in the code. Not a great practice! This was detected on October 9, 2025, at 10:58 PM, and has 1 data flow.

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: vulpy-ssl.py:13
  • Data Flows: 1
  • Detected: 2025-10-09 10:58 PM

Vulnerable Code: Spot the Secret

The problematic code snippet is between lines 9 and 18 in vulpy-ssl.py:

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-d1516d85-0314-416d-b876-d6f7971dc80d/blob/07d9aab86176fffd95690b4670da97f292ae6af8/bad/vulpy-ssl.py#L9-L18

Data Flows: The Path to Exposure

With one data flow, we have a clear path:

Training Material: Time to Learn More

For a deeper dive, let’s check out the training material from Secure Code Warrior:

Medium Severity: Hardcoded Credentials in vulpy.py:16

Last but not least, we have another medium-severity Hardcoded Password/Credentials issue in vulpy.py at line 16. This also falls under CWE-798 and was detected on October 9, 2025, at 10:58 PM, with 1 data flow.

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: vulpy.py:16
  • Data Flows: 1
  • Detected: 2025-10-09 10:58 PM

Vulnerable Code: Exposing Secrets

The vulnerable code snippet is between lines 12 and 21 in vulpy.py:

https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-d1516d85-0314-416d-b876-d6f7971dc80d/blob/07d9aab86176fffd95690b4670da97f292ae6af8/bad/vulpy.py#L12-L21

Data Flows: The Lone Path

We have one data flow here:

Training Material: More Knowledge, More Power!

Let's revisit the training materials to solidify our understanding:

Findings Overview: The Complete Picture

To wrap things up, let’s take a look at the overview of our findings. This table gives us a clear summary of the vulnerabilities we’ve identified.

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

Conclusion

Alright, guys, we've reached the end of our code security report deep dive! We've uncovered some critical issues, especially those SQL Injection vulnerabilities, but we also have clear paths to remediation. Let's get those pull requests rolling and make our codebase more secure! Remember, security is a team effort, and every line of code we protect makes a difference.

For more in-depth information on application security and secure coding practices, check out the OWASP (Open Web Application Security Project) website at https://owasp.org/. It's a fantastic resource!

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