Security Report: SQL Injection & Credential Exposure

by RICHARD 53 views

In this code security report, we delve into the findings of the latest scan conducted on August 20, 2025, at 09:14 am. The scan revealed a total of five findings, all of which are new. The project, comprising 19 tested files, was primarily written in Python. Let's break down the specifics of these findings, focusing on the vulnerabilities identified and their potential impact.

Scan Metadata

  • Latest Scan: 2025-08-20 09:14am
  • Total Findings: 5 | New Findings: 5 | Resolved Findings: 0
  • Tested Project Files: 19
  • Detected Programming Languages: 1 (Python*)

Understanding the Scan Metadata

The scan metadata provides a quick overview of the security assessment. The "Latest Scan" timestamp indicates when the analysis was performed. The "Total Findings" and "New Findings" metrics show the number of vulnerabilities detected, with all five being new in this case. The "Tested Project Files" count signifies the scope of the scan, while "Detected Programming Languages" confirms that Python was the primary language analyzed. This information helps to contextualize the findings and understand the overall security posture of the project. Ensuring the code is secure means that companies can operate without fear of data breaches. It also makes it less likely that companies will have to deal with upset customers or the other fallout from a security breach.

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Finding Details

The core of this report lies in the finding details, which are categorized by severity and vulnerability type. The table below summarizes the findings, providing links to the vulnerable code and relevant training materials. It is crucial to address these findings promptly to mitigate potential risks.

SeverityVulnerability TypeCWEFileData FlowsDetected
HighSQL Injection

CWE-89

libuser.py:12

12025-08-20 09:14am
Vulnerable Code

https://github.com/SAST-UP-PROD-saas-mend/SAST-Test-Repo-db233b7b-219a-4709-a881-6b3ef31d0eb9/blob/1d54321cd09e8a326fbb5d55cb27bff57ca2fe50/bad/libuser.py#L7-L12

1 Data Flow/s detected

https://github.com/SAST-UP-PROD-saas-mend/SAST-Test-Repo-db233b7b-219a-4709-a881-6b3ef31d0eb9/blob/1d54321cd09e8a326fbb5d55cb27bff57ca2fe50/bad/libuser.py#L12

Secure Code Warrior Training Material

● Training

   ▪ Secure Code Warrior SQL Injection Training

● Videos

   ▪ Secure Code Warrior SQL Injection Video

● Further Reading

   ▪ OWASP SQL Injection Prevention Cheat Sheet

   ▪ OWASP SQL Injection

   ▪ OWASP Query Parameterization Cheat Sheet

   ▪ Preventing SQL Injection Attacks With Python

:black_flag: Suppress Finding
  • [ ] ... as False Alarm
  • [ ] ... as Acceptable Risk
 
HighSQL Injection

CWE-89

libuser.py:25

12025-08-20 09:14am
Vulnerable Code

https://github.com/SAST-UP-PROD-saas-mend/SAST-Test-Repo-db233b7b-219a-4709-a881-6b3ef31d0eb9/blob/1d54321cd09e8a326fbb5d55cb27bff57ca2fe50/bad/libuser.py#L20-L25

1 Data Flow/s detected

https://github.com/SAST-UP-PROD-saas-mend/SAST-Test-Repo-db233b7b-219a-4709-a881-6b3ef31d0eb9/blob/1d54321cd09e8a326fbb5d55cb27bff57ca2fe50/bad/libuser.py#L25

Secure Code Warrior Training Material

● Training

   ▪ Secure Code Warrior SQL Injection Training

● Videos

   ▪ Secure Code Warrior SQL Injection Video

● Further Reading

   ▪ OWASP SQL Injection Prevention Cheat Sheet

   ▪ OWASP SQL Injection

   ▪ OWASP Query Parameterization Cheat Sheet

   ▪ Preventing SQL Injection Attacks With Python

:black_flag: Suppress Finding
  • [ ] ... as False Alarm
  • [ ] ... as Acceptable Risk
 
HighSQL Injection

CWE-89

libuser.py:53

12025-08-20 09:14am
Vulnerable Code

https://github.com/SAST-UP-PROD-saas-mend/SAST-Test-Repo-db233b7b-219a-4709-a881-6b3ef31d0eb9/blob/1d54321cd09e8a326fbb5d55cb27bff57ca2fe50/bad/libuser.py#L48-L53

1 Data Flow/s detected

https://github.com/SAST-UP-PROD-saas-mend/SAST-Test-Repo-db233b7b-219a-4709-a881-6b3ef31d0eb9/blob/1d54321cd09e8a326fbb5d55cb27bff57ca2fe50/bad/libuser.py#L53

Secure Code Warrior Training Material

● Training

   ▪ Secure Code Warrior SQL Injection Training

● Videos

   ▪ Secure Code Warrior SQL Injection Video

● Further Reading

   ▪ OWASP SQL Injection Prevention Cheat Sheet

   ▪ OWASP SQL Injection

   ▪ OWASP Query Parameterization Cheat Sheet

   ▪ Preventing SQL Injection Attacks With Python

:black_flag: Suppress Finding
  • [ ] ... as False Alarm
  • [ ] ... as Acceptable Risk
 
MediumHardcoded Password/Credentials

CWE-798

vulpy.py:16

12025-08-20 09:14am
Vulnerable Code

https://github.com/SAST-UP-PROD-saas-mend/SAST-Test-Repo-db233b7b-219a-4709-a881-6b3ef31d0eb9/blob/1d54321cd09e8a326fbb5d55cb27bff57ca2fe50/bad/vulpy.py#L16

Secure Code Warrior Training Material

● Training

   ▪ Secure Code Warrior Hardcoded Password/Credentials Training

● Videos

   ▪ Secure Code Warrior Hardcoded Password/Credentials Video

:black_flag: Suppress Finding
  • [ ] ... as False Alarm
  • [ ] ... as Acceptable Risk
 
MediumHardcoded Password/Credentials

CWE-798

vulpy-ssl.py:13

12025-08-20 09:14am
Vulnerable Code

https://github.com/SAST-UP-PROD-saas-mend/SAST-Test-Repo-db233b7b-219a-4709-a881-6b3ef31d0eb9/blob/1d54321cd09e8a326fbb5d55cb27bff57ca2fe50/bad/vulpy-ssl.py#L13

Secure Code Warrior Training Material

● Training

   ▪ Secure Code Warrior Hardcoded Password/Credentials Training

● Videos

   ▪ Secure Code Warrior Hardcoded Password/Credentials Video

:black_flag: Suppress Finding
  • [ ] ... as False Alarm
  • [ ] ... as Acceptable Risk

High Severity: SQL Injection

SQL Injection vulnerabilities are critical, and this report highlights three instances in libuser.py. Specifically, lines 12, 25, and 53 are flagged. SQL injection occurs when user-supplied input is inserted into a SQL query without proper sanitization. This can allow attackers to execute arbitrary SQL code, potentially compromising the entire database. Addressing these vulnerabilities is paramount to prevent data breaches and unauthorized access. Make sure that you follow the steps outlined by OWASP. Also, make sure that your development team understands that the consequences for these types of issues can be servere. The goal is to have 0 vulnerabilities to mitigate any risk of breach.

  • libuser.py:12: The code at this location is vulnerable to SQL injection. Data flow analysis indicates that user input is directly incorporated into a SQL query without proper sanitization. This allows an attacker to manipulate the query and potentially extract sensitive information or modify data. It's imperative to implement parameterized queries or use an ORM (Object-Relational Mapping) to prevent this vulnerability. Ensuring that the database credentials are correct can assist in fixing this vulnerability.
  • libuser.py:25: Similar to line 12, this instance also suffers from SQL injection. User-provided data is used unsafely in a SQL query, making the application susceptible to malicious attacks. Employing input validation and parameterized queries is crucial to mitigate this risk. This means filtering the input that you will receive and making sure that it is correct. Once the filtering has occurred, use a parameter in the query to properly execute the query with limited exposure.
  • libuser.py:53: The third SQL injection vulnerability is found here. As with the previous instances, the lack of proper input sanitization allows for potential SQL injection attacks. Immediate remediation is required to safeguard the database and application. This means removing the code or implementing the proper security controls to secure the database.

Medium Severity: Hardcoded Password/Credentials

Hardcoded passwords and credentials pose a significant security risk, as they can be easily discovered and exploited. This report identifies two instances in vulpy.py and vulpy-ssl.py. Storing credentials directly in the code is a dangerous practice that must be avoided. Using environment variables or secure configuration files is a much safer alternative. Credentials that are hardcoded can be a vulnerability to any application. You also expose the company and the consumer to a possible security breach.

  • vulpy.py:16: This file contains hardcoded credentials. Storing passwords or API keys directly in the source code is a major security flaw. These credentials can be easily discovered by anyone with access to the code, leading to unauthorized access and potential data breaches. Replace the hardcoded credentials with a secure storage mechanism, such as environment variables or a dedicated secrets management system.
  • vulpy-ssl.py:13: Another instance of hardcoded credentials is found in this file. As with vulpy.py, storing sensitive information directly in the code is a critical vulnerability. Migrate these credentials to a secure storage solution immediately. Consider implementing a secrets management strategy to ensure that credentials are stored securely and rotated regularly. These controls can assist in making the application secure.

Remediation Strategies

Addressing the identified vulnerabilities requires a multi-faceted approach. Here are some strategies to consider:

  1. Input Sanitization: Implement strict input validation to ensure that user-provided data is safe and does not contain malicious code.
  2. Parameterized Queries: Use parameterized queries or ORMs to prevent SQL injection vulnerabilities. This ensures that user input is treated as data, not executable code.
  3. Secure Credential Storage: Never store credentials directly in the code. Use environment variables, secure configuration files, or dedicated secrets management systems to store sensitive information.
  4. Regular Security Audits: Conduct regular security audits and code reviews to identify and address vulnerabilities proactively.
  5. Employee Training: Provide security training to developers to educate them about common vulnerabilities and secure coding practices.

Secure Code Warrior Training Material

For each vulnerability type, Secure Code Warrior offers training materials to help developers understand the risks and how to prevent them. These resources include:

  • Training Modules: Interactive training modules that cover the fundamentals of each vulnerability.
  • Videos: Short videos that explain the concepts in an engaging and easy-to-understand manner.
  • Further Reading: Links to relevant articles and documentation from OWASP and other reputable sources.

Suppression

The report includes options to suppress findings that are deemed false alarms or acceptable risks. However, it is crucial to carefully evaluate each finding before suppressing it to ensure that no genuine vulnerabilities are overlooked. Ensure that you understand the risks before deciding to do this. There could be unmitigated consequences if this is done.

:black_flag: Suppress Finding
  • [ ] ... as False Alarm
  • [ ] ... as Acceptable Risk

This code security report provides a comprehensive overview of the vulnerabilities identified in the scanned project. Addressing these findings promptly and effectively is essential to ensure the security and integrity of the application and its data.