Code Security Report: High Severity Findings Addressed

by Henrik Larsen 55 views

Hey guys! Let's dive into the latest code security report for the SAST-UP-PROD-saas-ws project, focusing on those critical high severity findings and the overall vulnerability landscape. This is super important for keeping our code safe and sound, so let’s break it down in a way that’s easy to understand.

Scan Metadata

First off, the scan metadata gives us a snapshot of the current situation:

  • Latest Scan: 2025-08-03 03:11pm
  • Total Findings: 5
  • New Findings: 5
  • Resolved Findings: 0
  • Tested Project Files: 19
  • Detected Programming Languages: 1 (Python*)

This tells us that the latest scan was on August 3rd, 2025, and we've got a total of 5 findings, all of which are new. None have been resolved yet, so we’ve got some work to do! The scan covered 19 files, and the project is primarily in Python. It’s also cool that we have a manual scan trigger option right here:

  • [ ] Check this box to manually trigger a scan

Detailed Finding Analysis

Now, let’s get into the nitty-gritty. We’re going to break down each finding, focusing on the severity, vulnerability type, and how to address it. Understanding these details is crucial for effectively patching up our code.

High Severity: SQL Injection Vulnerabilities

We've got a few high severity SQL Injection vulnerabilities lurking in our code, specifically in libuser.py. SQL Injection, for those who aren't super familiar, is a nasty bug where attackers can mess with our database by injecting malicious SQL code. This can lead to data breaches, unauthorized access, and all sorts of bad stuff. Let’s look at the specifics.

SQL Injection at libuser.py:12

This one's a biggie. The vulnerability is located at line 12 of libuser.py. Here’s a breakdown:

Vulnerable Code Snippet:

To see the vulnerable code directly, you can check out this link:

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-23c0ad31-9303-4ffd-ac49-4d673b158baa/blob/ba23a8db8632fc8b4a09436099e45f3890e84704/bad/libuser.py#L7-L12

There's one detected data flow here, which you can trace back to:

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-23c0ad31-9303-4ffd-ac49-4d673b158baa/blob/ba23a8db8632fc8b4a09436099e45f3890e84704/bad/libuser.py#L12

Secure Code Warrior Training Material:

Luckily, we've got some great resources to help us understand and fix this:

Mitigation Strategies:

The best way to prevent SQL Injection is to use parameterized queries or prepared statements. These techniques ensure that user input is treated as data, not as part of the SQL command. Basically, it keeps the bad guys from injecting their own SQL into our queries. We should avoid string concatenation when building SQL queries at all costs.

Suppression Options:

If we think this is a false alarm or an acceptable risk, we can suppress the finding:

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

SQL Injection at libuser.py:25

Another SQL Injection vulnerability pops up at line 25 in libuser.py. The details are pretty similar:

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:25
  • Data Flows: 1
  • Detected: 2025-08-03 03:12pm

Vulnerable Code Snippet:

You can see the vulnerable code snippet here:

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-23c0ad31-9303-4ffd-ac49-4d673b158baa/blob/ba23a8db8632fc8b4a09436099e45f3890e84704/bad/libuser.py#L20-L25

And the data flow can be traced here:

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-23c0ad31-9303-4ffd-ac49-4d673b158baa/blob/ba23a8db8632fc8b4a09436099e45f3890e84704/bad/libuser.py#L25

Secure Code Warrior Training Material:

Same resources apply here:

Mitigation Strategies:

Again, parameterized queries are our best friend. Let’s make sure we’re using them consistently.

Suppression Options:

Just like the previous finding, we can suppress if necessary:

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

SQL Injection at libuser.py:53

And yet another SQL Injection vulnerability, this time at line 53 of libuser.py. Seems like we’ve got a pattern here!

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:53
  • Data Flows: 1
  • Detected: 2025-08-03 03:12pm

Vulnerable Code Snippet:

Check out the code here:

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-23c0ad31-9303-4ffd-ac49-4d673b158baa/blob/ba23a8db8632fc8b4a09436099e45f3890e84704/bad/libuser.py#L48-L53

The data flow is located at:

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-23c0ad31-9303-4ffd-ac49-4d673b158baa/blob/ba23a8db8632fc8b4a09436099e45f3890e84704/bad/libuser.py#L53

Secure Code Warrior Training Material:

Same drill:

Mitigation Strategies:

Yep, you guessed it—parameterized queries. Let’s get these implemented ASAP.

Suppression Options:

Suppress if you must:

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

Medium Severity: Hardcoded Credentials

Moving on to medium severity issues, we’ve got a couple of instances of hardcoded passwords/credentials. This is where we’ve got sensitive information like passwords directly in our code, which is a big no-no. If attackers get their hands on this, it’s game over.

Hardcoded Password/Credentials in vulpy.py:16

Vulnerable Code Snippet:

You can see the code here:

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-23c0ad31-9303-4ffd-ac49-4d673b158baa/blob/ba23a8db8632fc8b4a09436099e45f3890e84704/bad/vulpy.py#L16

Secure Code Warrior Training Material:

Here are some helpful resources:

Mitigation Strategies:

Never, ever hardcode credentials. Instead, use environment variables, configuration files, or secure storage mechanisms like key vaults. This keeps our sensitive info out of the codebase.

Suppression Options:

If you really need to:

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

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

We’ve got another instance in vulpy-ssl.py at line 13:

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: vulpy-ssl.py:13
  • Data Flows: 1
  • Detected: 2025-08-03 03:12pm

Vulnerable Code Snippet:

Take a look at the code snippet here:

https://github.com/SAST-UP-PROD-saas-ws/SAST-Test-Repo-23c0ad31-9303-4ffd-ac49-4d673b158baa/blob/ba23a8db8632fc8b4a09436099e45f3890e84704/bad/vulpy-ssl.py#L13

Secure Code Warrior Training Material:

Same great resources:

Mitigation Strategies:

Again, let’s ditch the hardcoded credentials and use secure alternatives.

Suppression Options:

If you have to:

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

Action Items and Next Steps

Okay, team, we’ve got our work cut out for us. The key takeaways are:

  1. Address the SQL Injection vulnerabilities in libuser.py. Parameterized queries are the way to go.
  2. Remove hardcoded credentials from vulpy.py and vulpy-ssl.py. Let's switch to environment variables or a key vault.

We need to prioritize these findings, especially the high severity SQL Injection issues. Let’s schedule some time to work on these fixes and make sure our code is more secure. Keeping our code secure isn't just a one-time thing; it's a continuous process. Regular scans, training, and staying updated on the latest security practices are crucial.

Remember, if you have any questions or need help with these fixes, don’t hesitate to reach out. Let’s get this done! 🚀