Code Security Report: 3 High Severity Findings

by Alex Johnson 47 views

In this comprehensive code security report, we delve into the critical findings of a recent scan, highlighting vulnerabilities and providing insights into potential risks. This report focuses on the main branch analysis, revealing a total of 7 findings, with a concerning 3 classified as high severity. Understanding these vulnerabilities is crucial for maintaining the integrity and security of the codebase.

Scan Metadata: Understanding the Context

The scan metadata provides essential context for interpreting the findings. The latest scan was conducted on November 27, 2025, at 10:17 PM, revealing a total of 7 findings, all of which are new. This indicates that no previously identified issues have been resolved. The scan covered 18 project files and detected one programming language: Python. This information helps to narrow down the scope of the vulnerabilities and focus on the relevant areas of the codebase.

  • Latest Scan: 2025-11-27 10:17 PM
  • Total Findings: 7 | New Findings: 7 | Resolved Findings: 0
  • Tested Project Files: 18
  • Detected Programming Languages: 1 (Python)

Most Relevant Findings: A Deep Dive into Vulnerabilities

The most relevant findings section presents a detailed breakdown of the high and medium severity vulnerabilities identified in the scan. Each finding is categorized by severity, vulnerability type, Common Weakness Enumeration (CWE), file location, data flows, detection time, violated workflows, violation priority, and violation Service Level Agreement (SLA). This information allows developers to quickly assess the impact of each vulnerability and prioritize remediation efforts.

High Severity Findings: SQL Injection Vulnerabilities

This report highlights three high-severity SQL Injection vulnerabilities, a critical security flaw that can lead to unauthorized access, data breaches, and system compromise. SQL injection occurs when malicious SQL code is injected into an application's database queries, potentially allowing attackers to manipulate the database. These vulnerabilities were identified in the libuser.py file at lines 12, 25, and 53, indicating a systemic issue within the user management module. Understanding the specifics of these vulnerabilities is paramount for effective mitigation.

1. SQL Injection at libuser.py:12

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:12
  • Data Flows: 10
  • Detected: 2025-11-27 10:17 PM
  • Violated Workflows: SAST-workflowa239de9c-3b83-41df-a6c1-1ae8ecf5bd74
  • Violation Priority: HIGH

The vulnerable code snippet at libuser.py:12 is susceptible to SQL injection due to improper handling of user-supplied input in database queries. The data flows detected (10 in total) indicate that the input is not sanitized, allowing malicious SQL code to be injected. This can potentially lead to unauthorized data access or modification. Mitigating this vulnerability requires implementing input validation and parameterized queries.

The data flows for this vulnerability trace back through multiple modules, highlighting the complexity of the issue. The data flow starts at mod_api.py#L32, passes through libapi.py#L8 and libuser.py#L5, before reaching the vulnerable point at libuser.py#L12. This intricate path emphasizes the need for a holistic approach to security, addressing vulnerabilities at every stage of data processing. Multiple data flows (#1, #2, #3, and more) further illustrate the various pathways through which malicious data can reach the vulnerable code.

To further understand and remediate this issue, the report provides links to resources such as:

2. SQL Injection at libuser.py:25

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:25
  • Data Flows: 12
  • Detected: 2025-11-27 10:17 PM
  • Violated Workflows: SAST-workflowa239de9c-3b83-41df-a6c1-1ae8ecf5bd74
  • Violation Priority: HIGH

Another critical SQL injection vulnerability is present at libuser.py:25. Similar to the previous finding, this vulnerability stems from the lack of proper input validation in SQL queries. The presence of 12 data flows suggests a complex pathway for data to reach the vulnerable code, making it imperative to implement robust security measures. The ramifications of this vulnerability are substantial, as it could lead to severe data breaches and system compromise. Addressing this issue promptly is crucial for safeguarding sensitive information.

The data flows for this vulnerability originate from mod_user.py#L17, passing through mod_user.py#L20, mod_user.py#L32, and libuser.py#L20 before reaching the point of vulnerability at libuser.py#L25. This extended chain of data flow emphasizes the interconnectedness of modules and the importance of secure coding practices across the entire application. Multiple data flow paths (#1, #2, #3, and more) highlight the diverse ways in which malicious input can be exploited.

Comprehensive resources are provided to aid in understanding and resolving this vulnerability:

3. SQL Injection at libuser.py:53

  • Severity: High
  • Vulnerability Type: SQL Injection
  • CWE: CWE-89
  • File: libuser.py:53
  • Data Flows: 2
  • Detected: 2025-11-27 10:17 PM
  • Violated Workflows: SAST-workflowa239de9c-3b83-41df-a6c1-1ae8ecf5bd74
  • Violation Priority: HIGH

The third high-severity SQL injection vulnerability is located at libuser.py:53. Although this vulnerability has fewer data flows (2) compared to the others, it still poses a significant threat. The absence of proper input sanitization in SQL queries can lead to unauthorized database access and potential data compromise. Addressing this vulnerability is essential for maintaining the security and integrity of the system.

The data flow for this vulnerability originates from mod_user.py#L69, passes through libuser.py#L46, and culminates at the vulnerable point libuser.py#L53. This streamlined data flow underscores the direct path through which malicious input can be injected, highlighting the need for immediate remediation.

For further guidance and training, the following resources are provided:

Medium Severity Findings: Hardcoded Password/Credentials

The report also identifies four medium-severity vulnerabilities related to hardcoded passwords and credentials. Hardcoding credentials directly into the code poses a significant security risk, as it makes the system vulnerable to unauthorized access if the code is exposed. These findings emphasize the importance of secure credential management practices.

1. Hardcoded Password/Credentials at libuser.py:12

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: libuser.py:12
  • Data Flows: 1
  • Detected: 2025-11-27 10:17 PM

The presence of hardcoded credentials at libuser.py:12 is a medium-severity issue that needs to be addressed. Storing credentials directly in the code makes the system vulnerable to unauthorized access if the code is exposed. This can lead to severe security breaches and compromise of sensitive data. To mitigate this risk, it is essential to implement secure credential management practices, such as using environment variables or dedicated credential management systems.

The data flow for this vulnerability is direct, originating and terminating at libuser.py#L12, highlighting the immediate risk associated with the hardcoded credential.

To help address this issue, the following resources are available:

2. Hardcoded Password/Credentials at libuser.py:53

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: libuser.py:53
  • Data Flows: 1
  • Detected: 2025-11-27 10:17 PM

Another instance of hardcoded credentials is found at libuser.py:53. Similar to the previous finding, this vulnerability poses a significant security risk. The consequences of exposing hardcoded credentials can be severe, potentially leading to unauthorized access, data breaches, and compromise of sensitive information. Secure credential management practices are essential to mitigate this risk.

The data flow for this vulnerability is direct, originating and terminating at libuser.py#L53, emphasizing the immediate risk associated with the hardcoded credential.

The following resources are available to assist in addressing this issue:

3. Hardcoded Password/Credentials at vulpy-ssl.py:13

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: vulpy-ssl.py:13
  • Data Flows: 1
  • Detected: 2025-11-27 10:17 PM

The presence of hardcoded credentials in the vulpy-ssl.py file at line 13 represents a medium-severity vulnerability. Hardcoding credentials directly into the code exposes the system to unauthorized access if the code is compromised. This can lead to severe security breaches and the potential loss of sensitive information. Employing secure credential management practices is crucial for mitigating this risk.

The data flow for this vulnerability is direct, originating and terminating at vulpy-ssl.py#L13, underscoring the immediate risk associated with the hardcoded credential.

Resources for addressing this issue include:

4. Hardcoded Password/Credentials at vulpy.py:16

  • Severity: Medium
  • Vulnerability Type: Hardcoded Password/Credentials
  • CWE: CWE-798
  • File: vulpy.py:16
  • Data Flows: 1
  • Detected: 2025-11-27 10:17 PM

The final medium-severity vulnerability identified is the presence of hardcoded credentials at vulpy.py:16. This finding underscores the importance of consistently applying secure coding practices across the entire codebase. Hardcoding credentials directly into the code significantly increases the risk of unauthorized access and data breaches. Implementing secure credential management practices is crucial for preventing potential security incidents.

The data flow for this vulnerability is direct, originating and terminating at vulpy.py#L16, emphasizing the immediate risk associated with the hardcoded credential.

Resources for addressing this issue include:

Findings Overview: A Consolidated View

The findings overview table provides a consolidated summary of the vulnerabilities identified in the scan. This table categorizes the vulnerabilities by severity, vulnerability type, CWE, language, and count, offering a clear and concise overview of the security landscape of the codebase.

Severity Vulnerability Type CWE Language Count
High SQL Injection CWE-89 Python 3
Medium Hardcoded Password/Credentials CWE-798 Python 4

Conclusion

This code security report highlights several critical vulnerabilities that require immediate attention. The presence of three high-severity SQL injection vulnerabilities and four medium-severity hardcoded password/credential vulnerabilities underscores the importance of robust security practices in software development. Addressing these findings promptly and effectively is crucial for maintaining the integrity and security of the codebase.

By leveraging the provided resources and implementing secure coding practices, developers can mitigate these risks and build more secure applications. Regular security scans and proactive vulnerability management are essential components of a comprehensive security strategy.

For additional information on secure coding practices and vulnerability prevention, visit the Open Web Application Security Project (OWASP) website.