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

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

Hey guys! Let's dive into the security findings for the SAST-Test-Repo. This report highlights some critical vulnerabilities that we need to address ASAP. We're talking about SQL Injection and Hardcoded Credentials, so buckle up!

Scan Metadata

First off, let's check out the scan details:

  • Latest Scan: 2025-11-06 09:36AM
  • Total Findings: 5
  • New Findings: 5 (yikes, all new!)
  • Resolved Findings: 0 (we've got work to do!)
  • Tested Project Files: 18
  • Detected Programming Languages: Python*, Secrets

Okay, so we've got a fresh set of findings across 18 files, primarily in Python. Let's zoom in on the most relevant vulnerabilities.

Most Relevant Findings

This section lists the top 5 findings that need our immediate attention. The good news? Automatic remediation is available for 3 of them! Let's break it down:

1. High Severity: SQL Injection in libuser.py:12

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89 (the classic SQL Injection)
  • File: libuser.py:12
  • Data Flows: 2
  • Detected: 2025-11-06 09:36AM

Guys, SQL Injection is a big deal. It means an attacker could potentially mess with our database by injecting malicious SQL code. This can lead to data breaches, unauthorized access, and all sorts of nasty stuff. The vulnerable code in libuser.py at line 12 is using string concatenation to build SQL queries, which is a major no-no. Always sanitize inputs or use parameterized queries!

Data Flows

We've got two data flows leading to this vulnerability:

  • Data Flow #1: mod_user.py#L17 -> mod_user.py#L20 -> libuser.py#L5 -> libuser.py#L12
  • Data Flow #2: mod_user.py#L16 -> mod_user.py#L20 -> libuser.py#L5 -> libuser.py#L12

These data flows show how user input can make its way into the vulnerable SQL query. Understanding these flows helps us trace the problem back to its source and implement proper fixes.

Secure Code Warrior Training Material

If you're looking to brush up on your SQL Injection knowledge, check out these resources from Secure Code Warrior:

These resources are gold for understanding the ins and outs of SQL Injection and how to prevent it.

Remediation Suggestion

The suggested fix here is to use parameterized queries with the sqlite3 module. This is the recommended approach for preventing SQL Injection because it ensures that user inputs are treated as data, not as part of the SQL command. The provided diff shows exactly how to implement this:

To open a pull request with this remediation, you can comment:

/mend code remediate pull-request 3491a85b-1cda-4819-8688-210b4dc9f08a Your Optional Comment

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

/mend code remediate feedback positive 3491a85b-1cda-4819-8688-210b4dc9f08a Your Optional Comment
/mend code remediate feedback negative 3491a85b-1cda-4819-8688-210b4dc9f08a Your Optional Comment

Let's get this fixed ASAP! Parameterized queries are our friends.

2. High Severity: SQL Injection in libuser.py:25

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:25
  • Data Flows: 2
  • Detected: 2025-11-06 09:36AM

Another SQL Injection? Yep, it looks like we've got another instance in libuser.py, this time at line 25. The root cause is the same: constructing SQL queries using string concatenation. We need to apply the same fix here – parameterized queries.

Data Flows

  • Data Flow #1: mod_user.py#L46 -> mod_user.py#L52 -> libuser.py#L20 -> libuser.py#L25
  • Data Flow #2: mod_user.py#L45 -> mod_user.py#L52 -> libuser.py#L20 -> libuser.py#L25

Again, understanding these data flows is key to preventing future vulnerabilities.

Secure Code Warrior Training Material

Same resources apply here – let's reinforce our understanding of SQL Injection:

Remediation Suggestion

Parameterized queries to the rescue! Check out the diff:

To open a pull request:

/mend code remediate pull-request dc2ace29-dccb-41c1-9190-8a879b7237f7 Your Optional Comment

Feedback?

/mend code remediate feedback positive dc2ace29-dccb-41c1-9190-8a879b7237f7 Your Optional Comment
/mend code remediate feedback negative dc2ace29-dccb-41c1-9190-8a879b7237f7 Your Optional Comment

Let's squash this bug too!

3. High Severity: SQL Injection in libuser.py:53

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:53
  • Data Flows: 1
  • Detected: 2025-11-06 09:36AM

Third time's the charm? Not for SQL Injections! We've got another one in libuser.py at line 53. You guessed it – string concatenation is the culprit. We need to make parameterized queries our new best friend.

Data Flows

  • Data Flow: mod_user.py#L69 -> mod_user.py#L80 -> libuser.py#L46 -> libuser.py#L53

Secure Code Warrior Training Material

By now, you probably know the drill:

Remediation Suggestion

Let's apply that parameterized query fix:

To open a pull request:

/mend code remediate pull-request 721dda0d-ec87-4a7e-9595-3275127ecd74 Your Optional Comment

Feedback?

/mend code remediate feedback positive 721dda0d-ec87-4a7e-9595-3275127ecd74 Your Optional Comment
/mend code remediate feedback negative 721dda0d-ec87-4a7e-9595-3275127ecd74 Your Optional Comment

Okay, we're on a roll! Let's keep going.

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

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798 (Hardcoded Credentials)
  • File: vulpy-ssl.py:13
  • Data Flows: 1
  • Detected: 2025-11-06 09:36AM

Hardcoded credentials are a big no-no. It's like leaving the key to your house under the doormat. If an attacker gets their hands on the code, they get the credentials too. We need to store these securely, like in environment variables or a secrets management system.

Data Flows

  • Data Flow: vulpy-ssl.py#L13

Secure Code Warrior Training Material

Time to learn how to handle credentials safely:

5. Medium Severity: 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: 2025-11-06 09:36AM

Another one! It seems we have a pattern here. Hardcoded credentials in vulpy.py at line 16. Let's make a change and store these securely.

Data Flows

  • Data Flow: vulpy.py#L16

Secure Code Warrior Training Material

Same resources apply – let's get this credential situation under control:

Findings Overview

To summarize, here's a quick overview of the findings:

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

Next Steps

Okay, guys, we've identified the vulnerabilities. Now it's time to take action!

  1. Prioritize the High Severity SQL Injection vulnerabilities. These are the most critical and need immediate attention.
  2. Apply the suggested remediations by using parameterized queries.
  3. Address the Hardcoded Credentials by moving them to a secure storage mechanism.
  4. Use the provided Secure Code Warrior training materials to deepen your understanding of these vulnerabilities and how to prevent them.
  5. Make sure all developers are aware of these findings and best practices for secure coding.

Let's get this done and make our code more secure! 💪