Code Security Report: High Severity Vulnerabilities Found

Dec 3, 2025 by Alex Johnson 58 views

Code Security Report: Critical Vulnerabilities Detected

In this code security report, we will delve into the findings of the latest scan, highlighting critical vulnerabilities that have been detected. Understanding these findings is crucial for maintaining the security and integrity of our applications. This report covers the scan metadata, most relevant findings, and an overview of the vulnerabilities identified. By addressing these issues, we can significantly reduce the risk of potential attacks and ensure a more secure environment.

Scan Metadata

The scan metadata provides essential information about the security assessment. This includes the date and time of the latest scan, the total number of findings, and the scope of the scan in terms of files and programming languages.

Latest Scan: The latest scan was conducted on 2025-12-03 at 10:24 PM. This timestamp is critical as it indicates the freshness of the security assessment. Any findings reported are based on the codebase as it existed at this time. Regular scans are essential to capture any new vulnerabilities introduced through code changes.

Total Findings: The scan identified a total of 5 findings, all of which are new. This means that these vulnerabilities were not present in previous scans and require immediate attention. The fact that all findings are new underscores the importance of continuous monitoring and timely remediation.

Tested Project Files: A total of 18 project files were included in the scan. The scope of the scan is an important factor in understanding the completeness of the assessment. Scanning all relevant files ensures that potential vulnerabilities across the entire project are identified.

Detected Programming Languages: The scan detected 2 programming languages: Python and Secrets. Identifying the languages used in the project helps in tailoring the security analysis and applying the appropriate vulnerability detection techniques. The detection of 'Secrets' as a language highlights the importance of identifying and managing sensitive information within the codebase.

Most Relevant Findings

The most relevant findings section provides a detailed breakdown of the identified vulnerabilities, focusing on the severity, vulnerability type, and affected files. This section also includes data flow information, detection timestamps, violated workflows, and remediation suggestions. Addressing these findings is paramount to securing the application.

High Severity Findings

This report highlights three high-severity findings, all of which are related to SQL Injection. SQL Injection is a critical vulnerability that can allow attackers to manipulate database queries, potentially leading to data breaches, data corruption, or unauthorized access. Understanding the specifics of each finding is crucial for effective remediation.

1. SQL Injection in `libuser.py:12`

The first high-severity finding is a SQL Injection vulnerability located in the libuser.py file at line 12. This vulnerability is classified under CWE-89, which specifically addresses SQL Injection flaws. The detection timestamp indicates that this vulnerability was identified during the latest scan on 2025-12-03 at 10:24 PM.

The vulnerability has 2 detected data flows, indicating multiple paths through which an attacker could potentially exploit the flaw. The violated workflow, SAST-workflowa239de9c-3b83-41df-a6c1-1ae8ecf5bd74, highlights the specific workflow impacted by this vulnerability. The violation priority is marked as HIGH, underscoring the urgency of addressing this issue.

To understand the vulnerable code, let's examine the relevant snippet from libuser.py:

def get_user(username, password):
    db = sqlite3.connect('users.db')
    cursor = db.cursor()
    query = "SELECT * FROM users WHERE username = '" + username + "' AND password = '" + password + "'"
    cursor.execute(query)
    result = cursor.fetchone()
    db.close()
    return result

This code is vulnerable because it directly incorporates user-supplied input (username and password) into the SQL query without proper sanitization or parameterization. An attacker could inject malicious SQL code through these inputs, potentially bypassing authentication or accessing sensitive data.

The data flows provide a trace of how the tainted data (user input) reaches the vulnerable code. In this case, the data flows indicate that the username and password parameters, received from mod_user.py, are passed through several functions before being used in the vulnerable SQL query in libuser.py.

Mend.io offers a remediation suggestion to use parameterized queries with the sqlite3 module. Parameterized queries use placeholders for user inputs, which are then handled separately by the database engine. This prevents SQL injection by ensuring that user inputs are treated as data rather than executable code. The suggested remediation involves modifying the code as follows:

def get_user(username, password):
    db = sqlite3.connect('users.db')
    cursor = db.cursor()
    query = "SELECT * FROM users WHERE username = ? AND password = ?"
    cursor.execute(query, (username, password))
    result = cursor.fetchone()
    db.close()
    return result

This revised code uses placeholders (?) in the SQL query and passes the username and password as parameters to the execute method. This ensures that the inputs are properly escaped and treated as data, effectively preventing SQL injection.

Furthermore, Secure Code Warrior provides valuable training materials, including training modules and videos, to educate developers on SQL Injection vulnerabilities and prevention techniques. These resources can enhance the team's understanding of secure coding practices.

2. SQL Injection in `libuser.py:25`

The second high-severity finding is another SQL Injection vulnerability, also located in the libuser.py file, but this time at line 25. Like the previous finding, this is classified under CWE-89 and was detected on 2025-12-03 at 10:24 PM.

This vulnerability also has 2 detected data flows and impacts the same workflow, SAST-workflowa239de9c-3b83-41df-a6c1-1ae8ecf5bd74. The priority remains HIGH, emphasizing the critical need for remediation.

The vulnerable code snippet in libuser.py is as follows:

def update_user(username, new_password):
    db = sqlite3.connect('users.db')
    cursor = db.cursor()
    query = "UPDATE users SET password = '" + new_password + "' WHERE username = '" + username + "'"
    cursor.execute(query)
    db.commit()
    db.close()

Similar to the first vulnerability, this code directly embeds user-supplied input (new_password and username) into the SQL query without proper handling. This creates an opportunity for attackers to inject malicious SQL code.

The data flows indicate that the username and new_password parameters, received from mod_user.py, are passed through a series of functions before being used in the vulnerable SQL query.

The suggested remediation from Mend.io again involves using parameterized queries. The corrected code should look like this:

def update_user(username, new_password):
    db = sqlite3.connect('users.db')
    cursor = db.cursor()
    query = "UPDATE users SET password = ? WHERE username = ?"
    cursor.execute(query, (new_password, username))
    db.commit()
    db.close()

By using placeholders and passing the inputs as parameters, the risk of SQL Injection is effectively mitigated.

Secure Code Warrior's training materials are also relevant here, providing additional resources to understand and prevent SQL Injection attacks.

3. SQL Injection in `libuser.py:53`

The third high-severity finding is yet another SQL Injection vulnerability in libuser.py, this time at line 53. It is also classified under CWE-89 and was detected during the latest scan on 2025-12-03 at 10:24 PM.

This vulnerability has 1 detected data flow and affects the same workflow, SAST-workflowa239de9c-3b83-41df-a6c1-1ae8ecf5bd74. As with the other SQL Injection findings, the priority is HIGH.

The vulnerable code snippet at libuser.py:53 is:

def delete_user(username):
    db = sqlite3.connect('users.db')
    cursor = db.cursor()
    query = "DELETE FROM users WHERE username = '" + username + "'"
    cursor.execute(query)
    db.commit()
    db.close()

This code is susceptible to SQL Injection because it directly includes the username in the SQL query without proper sanitization. An attacker could inject malicious SQL code via the username parameter.

The data flow indicates that the username parameter, originating from mod_user.py, flows through several functions before reaching the vulnerable query in libuser.py.

The recommended remediation is to use parameterized queries, as demonstrated in the previous examples. The corrected code should be:

def delete_user(username):
    db = sqlite3.connect('users.db')
    cursor = db.cursor()
    query = "DELETE FROM users WHERE username = ?"
    cursor.execute(query, (username,))
    db.commit()
    db.close()

By using a placeholder for the username, the code ensures that the input is treated as data, preventing SQL Injection.

Again, Secure Code Warrior's training materials offer valuable insights into SQL Injection prevention.

Medium Severity Findings

In addition to the high-severity SQL Injection vulnerabilities, this report identifies two medium-severity findings related to Hardcoded Password/Credentials. These vulnerabilities, classified under CWE-798, can lead to unauthorized access if the hardcoded credentials are compromised.

1. Hardcoded Credentials in `vulpy-ssl.py:13`

The first medium-severity finding is a Hardcoded Password/Credentials vulnerability in the vulpy-ssl.py file at line 13. This vulnerability was detected on 2025-12-03 at 10:24 PM.

This vulnerability has 1 detected data flow. Unlike the SQL Injection findings, this vulnerability does not have a violated workflow associated with it, but it still requires attention to reduce security risks.

The vulnerable code snippet in vulpy-ssl.py is:

import ssl

context = ssl.create_default_context()
context.check_hostname = False
context.verify_mode = ssl.CERT_NONE


def insecure_connection():
    hostname = 'insecure-website.com'
    context = ssl.create_default_context()
    context.load_cert_chain(certfile="cert.pem", keyfile="key.pem")
    with socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) as sock:
        sock.bind(('127.0.0.1', 8443))
        sock.listen(5)
        conn, addr = sock.accept()
        with context.wrap_socket(conn, server_side=True) as ssock:
            ssock.sendall(b"Hardcoded_Password")

Here, the password/credentials Hardcoded_Password are hardcoded directly into the code. This is a security risk because anyone with access to the code can potentially gain unauthorized access.

The data flow highlights the presence of the hardcoded credential directly in the code.

To remediate this vulnerability, it is crucial to avoid hardcoding credentials. Instead, sensitive information should be stored securely, such as in environment variables, configuration files, or dedicated secret management systems. The code should then retrieve the credentials from these secure sources at runtime.

Secure Code Warrior provides training materials on hardcoded credentials, offering guidance on secure alternatives and best practices.

2. Hardcoded Credentials in `vulpy.py:16`

The second medium-severity finding is another instance of Hardcoded Password/Credentials, this time located in the vulpy.py file at line 16. This vulnerability was also detected on 2025-12-03 at 10:24 PM.

Like the previous finding, this vulnerability has 1 detected data flow and no associated violated workflow.

The vulnerable code snippet in vulpy.py is:

import socket


def insecure_connection():
    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
        s.bind(('127.0.0.1', 12345))
        s.listen(5)
        conn, addr = s.accept()
        with conn:
            print('Connected by', addr)
            while True:
                data = conn.recv(1024)
                if not data:
                    break
                conn.sendall(b"Hardcoded_Password")

Similar to the previous finding, the password/credentials Hardcoded_Password are hardcoded directly into the code. This poses a significant security risk.

The data flow indicates the direct presence of the hardcoded credential in the code.

The remediation for this vulnerability is the same: avoid hardcoding credentials. Use secure methods to store and retrieve sensitive information.

Secure Code Warrior's training materials on hardcoded credentials are also relevant to this finding, providing valuable guidance on secure coding practices.

Findings Overview

The findings overview provides a consolidated summary of the vulnerabilities detected, categorized by severity, vulnerability type, CWE, and language. This overview helps in prioritizing remediation efforts and gaining a high-level understanding of the security posture of the codebase.

Severity	Vulnerability Type	CWE	Language	Count
High	SQL Injection	CWE-89	Python*	3
Medium	Hardcoded Password/Credentials	CWE-798	Python*	2

This table clearly shows that the primary concern is the presence of three high-severity SQL Injection vulnerabilities. Addressing these should be the immediate priority. The two medium-severity Hardcoded Password/Credentials vulnerabilities also require attention to enhance the overall security posture.

Conclusion

This code security report highlights several critical vulnerabilities that need to be addressed to secure the application. The three high-severity SQL Injection vulnerabilities pose the most immediate risk and should be remediated using parameterized queries, as suggested. The two medium-severity Hardcoded Password/Credentials vulnerabilities should be addressed by removing hardcoded credentials and using secure storage and retrieval mechanisms.

By addressing these findings promptly and implementing secure coding practices, we can significantly reduce the risk of potential attacks and ensure a more secure environment. Regular security scans and continuous monitoring are essential to identify and remediate vulnerabilities as they arise.

For more information on secure coding practices and vulnerability prevention, consider exploring resources such as the OWASP Foundation. Their website offers a wealth of information on various security topics, including SQL Injection and credential management.