Security Scan: 3 High Severity & 11 Total Findings
This code security report highlights critical vulnerabilities discovered during the latest scan of the SAST-Test-Repo-04247c11-57ca-441c-90a2-40a45f1528a6 project. Conducted on November 16, 2025, at 06:08 PM, the scan identified a total of 11 findings, all of which are new. The scan covered 117 project files and detected three programming languages: Python, JavaScript/TypeScript, and Secrets. This report prioritizes the most relevant findings, emphasizing the three high-severity issues that require immediate attention, each with automatic remediation available.
Scan Metadata
Latest Scan: 2025-11-16 06:08PM Total Findings: 11 | New Findings: 11 | Resolved Findings: 0 Tested Project Files: 117 Detected Programming Languages: 3 (Python*, JavaScript / TypeScript*, Secrets)
Most Relevant Findings: A Deep Dive
This section provides a detailed analysis of the most critical vulnerabilities detected, offering insights into their nature, location, and potential impact. Each finding includes information on severity, vulnerability type, affected file, data flows, and detection timestamp. Remediation suggestions and training materials are also provided to facilitate prompt and effective resolution.
High Severity: SQL Injection in libuser.py:12
SQL Injection vulnerabilities represent a significant threat to application security, and this report identifies a critical instance in libuser.py at line 12. This vulnerability, categorized under CWE-89, allows attackers to inject malicious SQL code into database queries, potentially leading to unauthorized data access, modification, or deletion. The scan detected seven data flows associated with this vulnerability, indicating multiple pathways through which malicious input can reach the vulnerable code. Understanding these data flows is crucial for implementing comprehensive security measures.
The vulnerable code snippet in libuser.py lacks proper input sanitization, allowing user-supplied data to be directly incorporated into SQL queries. This direct incorporation creates an opportunity for attackers to manipulate the query logic and execute arbitrary commands on the database server. The consequences of a successful SQL injection attack can be devastating, ranging from data breaches and financial losses to complete system compromise.
To mitigate this risk, the report provides a remediation suggestion that leverages parameterized queries with the 'sqlite3' module. Parameterized queries ensure that user-supplied data is treated as data, not as executable code, effectively preventing SQL injection attacks. By using placeholders ('?') in the SQL statement and passing the 'username' and 'password' parameters separately, the database engine can properly escape and validate the input, neutralizing any malicious intent. In addition to the remediation suggestion, the report offers links to Secure Code Warrior training materials, including interactive training modules, videos, and further reading resources. These resources provide developers with the knowledge and skills necessary to identify and prevent SQL injection vulnerabilities in their code.
The suggested remediation involves modifying the vulnerable code in libuser.py to use parameterized queries. This change ensures that user-supplied data is properly escaped and validated before being incorporated into the SQL query, preventing attackers from injecting malicious code. The report includes a detailed diff file that shows the exact changes required to implement the remediation. By applying this remediation, developers can effectively eliminate the SQL injection vulnerability and protect their application from potential attacks.
High Severity: SQL Injection in libuser.py:25
Another high-severity SQL Injection vulnerability has been identified in libuser.py at line 25, further emphasizing the critical need for robust input validation and sanitization practices. This instance, also classified under CWE-89, shares the same fundamental risk as the previous finding: the potential for attackers to inject malicious SQL code and compromise the database. The scan detected two data flows associated with this vulnerability, highlighting the pathways through which malicious input can reach the vulnerable code. Proper handling of these data flows is essential to prevent exploitation.
The vulnerable code snippet in libuser.py exhibits a similar lack of input sanitization, allowing user-supplied data to be directly incorporated into SQL queries. This direct incorporation creates an opportunity for attackers to manipulate the query logic and execute arbitrary commands on the database server. The consequences of a successful SQL injection attack can be severe, ranging from data breaches and financial losses to complete system compromise. It's crucial to address this vulnerability promptly and effectively.
To mitigate this risk, the report provides a remediation suggestion that involves using parameterized queries with the 'sqlite3' module. Parameterized queries ensure that user-supplied data is treated as data, not as executable code, effectively preventing SQL injection attacks. By using placeholders ('?') in the SQL statement and passing the 'username' and 'password' parameters separately, the database engine can properly escape and validate the input, neutralizing any malicious intent. The report also includes links to Secure Code Warrior training materials, offering developers access to interactive training modules, videos, and further reading resources. These resources provide developers with the knowledge and skills necessary to identify and prevent SQL injection vulnerabilities in their code.
The suggested remediation involves modifying the vulnerable code in libuser.py to use parameterized queries. This change ensures that user-supplied data is properly escaped and validated before being incorporated into the SQL query, preventing attackers from injecting malicious code. The report includes a detailed diff file that shows the exact changes required to implement the remediation. By applying this remediation, developers can effectively eliminate the SQL injection vulnerability and protect their application from potential attacks. It's important to prioritize this remediation to safeguard the application and its data.
High Severity: SQL Injection in libuser.py:53
A third high-severity SQL Injection vulnerability has been detected in libuser.py at line 53, reinforcing the urgent need for improved security practices within the codebase. This vulnerability, also classified as CWE-89, poses a significant risk to the application and its data. The scan identified one data flow associated with this vulnerability, emphasizing the direct pathway through which malicious input can reach the vulnerable code. Understanding and addressing this data flow is crucial for preventing exploitation.
Similar to the previous findings, the vulnerable code snippet in libuser.py lacks proper input sanitization, allowing user-supplied data to be directly incorporated into SQL queries. This direct incorporation creates an opportunity for attackers to manipulate the query logic and execute arbitrary commands on the database server. The consequences of a successful SQL injection attack can be severe, ranging from data breaches and financial losses to complete system compromise. Addressing this vulnerability is paramount.
To mitigate this risk, the report provides a remediation suggestion that leverages parameterized queries with the 'sqlite3' module. Parameterized queries ensure that user-supplied data is treated as data, not as executable code, effectively preventing SQL injection attacks. By using placeholders ('?') in the SQL statement and passing the 'username' and 'password' parameters separately, the database engine can properly escape and validate the input, neutralizing any malicious intent. Additionally, the report offers links to Secure Code Warrior training materials, including interactive training modules, videos, and further reading resources. These resources empower developers with the knowledge and skills needed to identify and prevent SQL injection vulnerabilities in their code.
The suggested remediation involves modifying the vulnerable code in libuser.py to use parameterized queries. This change ensures that user-supplied data is properly escaped and validated before being incorporated into the SQL query, preventing attackers from injecting malicious code. The report includes a detailed diff file that shows the exact changes required to implement the remediation. By applying this remediation, developers can effectively eliminate the SQL injection vulnerability and protect their application from potential attacks. Prioritizing this remediation is essential to maintaining the security and integrity of the application.
Low Severity: Weak Hash Strength in skey.py:11
In addition to the high-severity SQL Injection vulnerabilities, the report identifies a low-severity Weak Hash Strength issue in skey.py at line 11. This vulnerability, categorized under CWE-328, arises from the use of an insecure hashing algorithm for password storage. While the immediate impact of this vulnerability may be less severe than SQL Injection, it can still pose a significant risk to user accounts. The scan detected one data flow associated with this vulnerability.
The use of a weak hashing algorithm makes it easier for attackers to crack passwords, potentially gaining unauthorized access to user accounts. This vulnerability is particularly concerning in light of the increasing sophistication of password cracking techniques. It is essential to address this vulnerability to protect user credentials and maintain the security of the application.
To mitigate this risk, developers should replace the weak hashing algorithm with a stronger, more modern algorithm, such as Argon2 or bcrypt. These algorithms are designed to be resistant to password cracking attacks, providing a higher level of security for user credentials. The report provides links to Secure Code Warrior training materials, including interactive training modules, videos, and further reading resources, to guide developers in implementing secure password storage practices. By adopting these practices, developers can significantly reduce the risk of password cracking and protect user accounts from unauthorized access.
Medium Severity: Hardcoded Password/Credentials
The report also highlights several instances of Medium Severity Hardcoded Password/Credentials vulnerabilities (CWE-798) across multiple files (libapi.py and vulpy-ssl.py). Hardcoding credentials directly in the code exposes sensitive information, making it easily accessible to attackers. This practice significantly increases the risk of unauthorized access and system compromise. Secure coding practices mandate the avoidance of hardcoded credentials.
Locations:
libapi.py:10libapi.py:20libapi.py:45vulpy-ssl.py:13bad/vulpy-ssl.py:13bad/vulpy.py:16
To address this vulnerability, developers should replace hardcoded credentials with secure alternatives, such as environment variables or configuration files. These alternatives allow credentials to be stored separately from the code, reducing the risk of exposure. The report provides links to Secure Code Warrior training materials, including interactive training modules and videos, to guide developers in implementing secure credential management practices. By adopting these practices, developers can significantly reduce the risk of unauthorized access and system compromise.
Findings Overview
| Severity | Vulnerability Type | CWE | Language | Count |
|---|---|---|---|---|
| High | SQL Injection | CWE-89 | Python* | 3 |
| Medium | Hardcoded Password/Credentials | CWE-798 | Python* | 7 |
| Low | Weak Hash Strength | CWE-328 | Python* | 1 |
Conclusion
This code security report highlights critical vulnerabilities that require immediate attention. Addressing the high-severity SQL Injection vulnerabilities and the medium-severity Hardcoded Password/Credentials issues is paramount to protecting the application and its data. Implementing the suggested remediations and adopting secure coding practices will significantly reduce the risk of exploitation. Regularly scanning the codebase for vulnerabilities and providing developers with the necessary training and resources are essential to maintaining a secure software environment.
For further information on secure coding practices, visit the OWASP (Open Web Application Security Project) website at https://owasp.org/
