Code Security Report 3 High Severity Findings And 5 Total Vulnerabilities
Hey guys! Let's dive into the latest code security report. We've got some interesting findings to discuss, so buckle up!
Scan Metadata
First things first, let's take a look at the scan metadata. This gives us a quick overview of the scan's details:
- Latest Scan: 2025-07-27 03:49am
- Total Findings: 5
- New Findings: 5
- Resolved Findings: 0
- Tested Project Files: 19
- Detected Programming Languages: 1 (Python*)
It looks like we've got 5 new findings in our latest scan, which was conducted on July 27, 2025. The scan covered 19 project files and detected Python as the primary programming language. No findings have been resolved yet, so let's dig deeper into the details.
- [ ] Check this box to manually trigger a scan
Manually Triggering a Scan
For those of you who like to be hands-on, there's an option to manually trigger a scan. Just check the box, and you're good to go! This is super useful when you've made some code changes and want to quickly check for vulnerabilities.
Finding Details
Now, let's get to the juicy part – the finding details! We've got a table here that breaks down each vulnerability, its severity, and other important info. Let's go through it one by one.
| Severity | Vulnerability Type | CWE | File | Data Flows | Detected |
|---|---|---|---|---|---|
 High | SQL Injection | 1 | 2025-07-27 03:49am | ||
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| High | SQL Injection | 1 | 2025-07-27 03:49am | ||
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| High | SQL Injection | 1 | 2025-07-27 03:49am | ||
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 Medium | Hardcoded Password/Credentials | 1 | 2025-07-27 03:49am | ||
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| Medium | Hardcoded Password/Credentials | 1 | 2025-07-27 03:49am | ||
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High Severity Findings: SQL Injection
We've got three high severity findings, all related to SQL Injection. SQL Injection is a serious vulnerability that can allow attackers to execute malicious SQL queries, potentially leading to data breaches or other nasty consequences. Let's break down each instance:
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- Vulnerable Code: This instance is located in
libuser.pyat line 25. The vulnerable code snippet can be found here. - Data Flow: There's 1 data flow detected, which can be viewed here. Understanding the data flow helps in tracing how the malicious input reaches the vulnerable point.
- Secure Code Warrior Training Material: To help you guys understand and fix this, there are some great resources from Secure Code Warrior:
- Further Reading:
- Vulnerable Code: This instance is located in
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- Vulnerable Code: This SQL Injection vulnerability is also found in
libuser.py, but this time at line 53. Check out the vulnerable code here. - Data Flow: Just like the previous one, there's 1 data flow detected. You can see it here. Understanding the flow of data is crucial for identifying how the injection occurs.
- Secure Code Warrior Training Material:
- Further Reading:
- Vulnerable Code: This SQL Injection vulnerability is also found in
Common Weakness Enumeration (CWE)
All three SQL Injection vulnerabilities are categorized under CWE-89, which specifically addresses improper neutralization of special elements used in an SQL command. This means that user input isn't being properly sanitized before being used in SQL queries, making the application vulnerable to attacks.
Mitigation:
To prevent SQL Injection, it's crucial to use parameterized queries or prepared statements. These techniques ensure that user input is treated as data, not as executable code. Always validate and sanitize user inputs and follow the principle of least privilege for database access.
Medium Severity Findings: Hardcoded Credentials
Moving on to the medium severity findings, we have two instances of Hardcoded Password/Credentials. This means that passwords or credentials are being stored directly in the code, which is a big no-no! If an attacker gains access to the code, they can easily obtain these credentials and compromise the system.
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- Vulnerable Code: The first instance is in
vulpy-ssl.pyat line 13. You can view the vulnerable code here. - Secure Code Warrior Training Material:
- Vulnerable Code: The first instance is in
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- Vulnerable Code: The second instance is in
vulpy.pyat line 16. Check out the code here. - Secure Code Warrior Training Material:
- Vulnerable Code: The second instance is in
Common Weakness Enumeration (CWE)
Both instances fall under CWE-798, which highlights the use of hardcoded credentials. This is a significant security risk as it provides a straightforward entry point for attackers.
Mitigation:
Never, ever hardcode credentials! Always store sensitive information, like passwords and API keys, securely using environment variables, configuration files, or dedicated secret management systems. Ensure that access to these secrets is tightly controlled and that they are encrypted both in transit and at rest.
Suppressing Findings
For each finding, there's a section to suppress it. You can choose to suppress a finding as a False Alarm or as an Acceptable Risk.
- [ ] ... as False Alarm
- [ ] ... as Acceptable Risk
Suppressing Findings Responsibly
It's important to note that suppressing findings should be done with caution and only after careful consideration. If a finding is indeed a false alarm, it's okay to suppress it. However, if it's an acceptable risk, make sure you've evaluated the potential impact and have a plan in place to mitigate it.
Conclusion
Alright, guys, that wraps up our code security report! We've identified 3 high severity SQL Injection vulnerabilities and 2 medium severity Hardcoded Password/Credentials issues. It's crucial that we address these findings promptly to ensure the security of our application.
Remember to use the provided training materials and further reading resources to understand these vulnerabilities and how to fix them. Let's work together to make our code more secure!