Code Security Report Analysis SQL Injection And Hardcoded Credentials

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Hey guys! Let's dive into the security report for the SAST-UP-PROD-saas-mend and SAST-Test-Repo-f6ac8c81-b30f-40f1-b31d-ce0a0dcdf028 projects. This report highlights some critical vulnerabilities we need to address, specifically SQL Injection and Hardcoded Credentials. So, grab your coffee, and let's get started!

Scan Metadata

First off, let’s check out the scan metadata. This gives us a quick overview of the security assessment.

  • Latest Scan: 2025-08-04 09:15pm
  • Total Findings: 5
  • New Findings: 5
  • Resolved Findings: 0
  • Tested Project Files: 19
  • Detected Programming Languages: Python

This metadata tells us that the latest scan was on August 4, 2025, and it found a total of 5 vulnerabilities, all of which are new. We tested 19 project files and detected Python as the programming language used. It's crucial to address these findings ASAP to keep our application secure. Remember, a stitch in time saves nine!

We also have a handy checkbox to manually trigger a scan. This is super useful when we’ve made changes and want to ensure our code is still secure. Just check the box, and let the magic happen!

Finding Details

Now, let's get into the nitty-gritty of the findings. We’ll break down each vulnerability, its severity, and how to fix it. This is where we become code detectives, guys!

High Severity: SQL Injection

SQL Injection is a serious vulnerability that can allow attackers to manipulate database queries, potentially leading to data breaches, data corruption, or even complete system compromise. It's like leaving the back door to your house wide open. We have three instances of SQL Injection in our report, all marked as high severity. Let's dive into each one:

1. libuser.py:12

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:12
  • Data Flows: 1
  • Detected: 2025-08-04 09:15pm

This SQL Injection vulnerability is located in the libuser.py file, specifically on line 12. The code here is vulnerable because it's likely constructing SQL queries using unsanitized input. This means an attacker could inject malicious SQL code into the query, causing unintended actions on the database. To fix this, we need to use parameterized queries or prepared statements, which ensure that user input is treated as data, not code.

The vulnerable code snippet can be found here. There's also a data flow detected, which you can view here.

2. libuser.py:25

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:25
  • Data Flows: 1
  • Detected: 2025-08-04 09:15pm

Another SQL Injection vulnerability lurks in libuser.py, this time on line 25. Similar to the first instance, this likely involves constructing SQL queries with unsanitized input. It’s crucial to sanitize all user inputs before using them in SQL queries. Always remember the principle of least privilege: only grant the necessary permissions to database users. The vulnerable code can be viewed here, and the data flow here.

3. libuser.py:53

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:53
  • Data Flows: 1
  • Detected: 2025-08-04 09:15pm

Our third SQL Injection vulnerability is also in libuser.py, this time on line 53. This consistent pattern suggests a need for a thorough review of how SQL queries are handled in this file. It's like finding three cracks in the same wall; we need to reinforce the entire structure. The vulnerable code is available here, and the data flow here.

Remediation Resources for SQL Injection

To help us fix these SQL Injection vulnerabilities, we have some awesome resources:

These resources offer great guidance on understanding and preventing SQL Injection attacks. Let’s make sure to utilize them to the fullest!

Suppressing Findings

Sometimes, we might encounter findings that are false alarms or acceptable risks. In such cases, we can suppress the finding. However, we should always document the reason for suppression. It’s like saying, "Hey, we looked at this, and it's okay for now, but here's why." There are options to suppress as False Alarm or Acceptable Risk. Remember, suppression should be the exception, not the rule. We want to fix vulnerabilities whenever possible.

Medium Severity: Hardcoded Password/Credentials

Next up, we have two instances of Hardcoded Password/Credentials, both marked as medium severity. Hardcoding credentials is like writing your password on a sticky note and attaching it to your monitor – not a great idea!

1. vulpy.py:16

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: vulpy.py:16
  • Data Flows: 1
  • Detected: 2025-08-04 09:15pm

This vulnerability is located in vulpy.py on line 16. Hardcoded credentials can be a significant security risk because if the code is compromised, the credentials can be easily extracted. To fix this, we should store credentials securely, such as in environment variables or a secure configuration file, and retrieve them at runtime. Think of it as putting your valuables in a safe instead of leaving them on the table.

The vulnerable code snippet can be found here.

2. vulpy-ssl.py:13

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: vulpy-ssl.py:13
  • Data Flows: 1
  • Detected: 2025-08-04 09:15pm

Our second instance of hardcoded credentials is in vulpy-ssl.py on line 13. This further emphasizes the need for a secure credential management strategy. Always remember, security is a team sport, and everyone needs to play their part! The vulnerable code is located here.

Remediation Resources for Hardcoded Password/Credentials

To address these vulnerabilities, we have these resources available:

These resources will guide us on how to avoid hardcoding credentials and implement secure alternatives. Let's get to it!

Conclusion

Alright, guys, we’ve covered a lot in this code security report! We've identified three high-severity SQL Injection vulnerabilities and two medium-severity Hardcoded Password/Credentials issues. It’s crucial to address these findings promptly to secure our application. Let's use the provided resources, collaborate effectively, and make our code bulletproof! Remember, a secure application is a happy application.

Let’s roll up our sleeves and get to work! Happy coding, and stay secure!