Code Security Report: 2 High Severity, 8 Total Findings

by Alex Johnson 56 views

In this comprehensive code security report, we delve into the details of a recent scan that identified a total of eight findings, including two of high severity. Understanding these findings is crucial for maintaining the integrity and security of our applications. This report aims to provide a clear overview of the vulnerabilities detected, their potential impact, and the steps needed to address them effectively. Let's explore the scan metadata, relevant findings, and an in-depth analysis of each vulnerability.

Scan Metadata: Understanding the Context

To start, let's examine the scan metadata, which provides essential context for the findings. The latest scan was conducted on 2025-11-27 at 10:16 PM, revealing a total of eight findings, all of which are new. This means that none of these issues were present in previous scans and require immediate attention. The scan covered 13 project files, indicating the breadth of the analysis. It also detected one primary programming language: JavaScript / Node.js. This information helps us focus our remediation efforts on the specific areas and technologies involved. Understanding the scope and timing of the scan is the first step in effectively addressing the identified vulnerabilities.

Key Metadata Points:

  • Latest Scan: 2025-11-27 10:16 PM – The timestamp of the most recent scan.
  • Total Findings: 8 – The total number of vulnerabilities detected.
  • New Findings: 8 – All findings are new, requiring immediate attention.
  • Resolved Findings: 0 – No previously identified issues were resolved in this scan.
  • Tested Project Files: 13 – The number of files analyzed during the scan.
  • Detected Programming Languages: JavaScript / Node.js – The primary language used in the scanned project.

Most Relevant Findings: A Detailed Breakdown

The report highlights several critical findings, each with varying degrees of severity and potential impact. These findings are 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). Let's take a closer look at the most relevant findings, focusing on the two high-severity vulnerabilities.

High Severity Findings

1. Path/Directory Traversal

  • Severity: High
  • Vulnerability Type: Path/Directory Traversal
  • CWE: CWE-22 – Improper Limitation of a Pathname to a Restricted Directory
  • File: express.js:33
  • Data Flows: 1
  • Detected: 2025-11-27 10:17 PM
  • Violated Workflows: SAST-workflowa239de9c-3b83-41df-a6c1-1ae8ecf5bd74
  • Violation Priority: HIGH
  • Violation SLA: N/A

Description: This vulnerability, identified as CWE-22, involves a Path/Directory Traversal issue in the express.js file. Path Traversal vulnerabilities occur when an application allows user input to control the file paths used in file operations. This can enable attackers to access arbitrary files and directories on the server, potentially leading to sensitive data exposure or even remote code execution. The vulnerable code snippet can be found at the provided GitHub link, highlighting the exact location of the flaw.

Vulnerable Code Snippet: The vulnerability lies within the handling of file paths in the express.js file. Specifically, the application does not adequately sanitize or validate user-supplied input, allowing attackers to manipulate the file paths. By crafting malicious input, an attacker can navigate outside the intended directories and access sensitive files. The data flow analysis indicates how user input reaches the vulnerable code, emphasizing the importance of input validation and sanitization.

Secure Code Warrior Training Material: To better understand and mitigate this vulnerability, consider the following resources:

2. Cross-Site Scripting (XSS)

  • Severity: High
  • Vulnerability Type: Cross-Site Scripting
  • CWE: CWE-79 – Improper Neutralization of Input During Web Page Generation
  • File: server.js:25
  • Data Flows: 1
  • Detected: 2025-11-27 10:17 PM
  • Violated Workflows: SAST-workflowa239de9c-3b83-41df-a6c1-1ae8ecf5bd74
  • Violation Priority: HIGH
  • Violation SLA: N/A

Description: This high-severity finding is a Cross-Site Scripting (XSS) vulnerability, classified under CWE-79. XSS vulnerabilities occur when an application includes user-provided data in its output without proper validation or encoding. This allows attackers to inject malicious scripts into the web pages viewed by other users. The vulnerability is located in the server.js file, specifically at line 25. XSS can lead to a range of security issues, including session hijacking, defacement of websites, and the redirection of users to malicious sites.

Vulnerable Code Snippet: The vulnerable code in server.js involves the improper handling of user input within the application's response. The application fails to neutralize or encode user-supplied data before rendering it in the browser, thus creating an opportunity for attackers to inject and execute malicious scripts. Data flow analysis shows how the injected data flows from the input to the output, highlighting the path that attackers can exploit.

Secure Code Warrior Training Material: For comprehensive training and resources on mitigating XSS vulnerabilities, consider the following:

Medium Severity Findings

1. Weak Pseudo-Random Number Generation

  • Severity: Medium
  • Vulnerability Type: Weak Pseudo-Random
  • CWE: CWE-338 – Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
  • File: linest.js:10
  • Data Flows: 1
  • Detected: 2025-11-27 10:17 PM
  • Violated Workflows: N/A
  • Violation Priority: N/A
  • Violation SLA: N/A

Description: This medium-severity vulnerability, classified as CWE-338, pertains to the use of a cryptographically weak pseudo-random number generator (PRNG). Such PRNGs do not provide sufficient randomness for security-sensitive applications, making them vulnerable to prediction and exploitation. The identified issue is located in the linest.js file at line 10. Using weak PRNGs can compromise the security of features that rely on randomness, such as password generation, session identifiers, and cryptographic keys.

Vulnerable Code Snippet: The code in linest.js employs a PRNG that is not suitable for security purposes. This PRNG generates predictable sequences, which can be determined by an attacker, leading to security breaches. The data flow analysis indicates how this weak PRNG is used within the application.

Secure Code Warrior Training Material: To gain a deeper understanding and learn how to use secure random number generators, refer to the following resources:

2. Weak Pseudo-Random Number Generation

  • Severity: Medium
  • Vulnerability Type: Weak Pseudo-Random
  • CWE: CWE-338 – Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
  • File: tf.js:39
  • Data Flows: 1
  • Detected: 2025-11-27 10:17 PM
  • Violated Workflows: N/A
  • Violation Priority: N/A
  • Violation SLA: N/A

Description: Similar to the previous finding, this medium-severity vulnerability also involves the use of a weak pseudo-random number generator (PRNG), classified under CWE-338. The issue is located in the tf.js file at line 39. The implications are the same: reliance on predictable randomness can undermine security mechanisms that depend on unpredictability.

Vulnerable Code Snippet: The code snippet in tf.js demonstrates the use of a weak PRNG, making it susceptible to prediction attacks. The data flow analysis helps to understand how this PRNG is utilized and where it poses a risk.

Secure Code Warrior Training Material: To further your understanding and learn about secure alternatives, consider these resources:

Low Severity Findings

Log Forging

The report identifies four instances of Log Forging vulnerabilities, all categorized as low severity and classified under CWE-117. Log Forging vulnerabilities occur when an application allows user-controlled input to be written into log files without proper sanitization. This can lead to log injection attacks, where attackers manipulate log entries to mask malicious activities, inject false information, or cause other issues.

  1. File: _logit.js:4 (https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-f659475c-46d7-4447-9f15-5284038d2735/blob/ad43b8170583d00e28f15b489f34036a69cd1679/demos/server/_logit.js#L4)
    • Data Flows: 1
    • Detected: 2025-11-27 10:17 PM
    • Violated Workflows: N/A
    • Violation Priority: N/A
    • Violation SLA: N/A
  2. File: _request.js:8 (https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-f659475c-46d7-4447-9f15-5284038d2735/blob/ad43b8170583d00e28f15b489f34036a69cd1679/demos/server/_request.js#L8)
    • Data Flows: 1
    • Detected: 2025-11-27 10:17 PM
    • Violated Workflows: N/A
    • Violation Priority: N/A
    • Violation SLA: N/A
  3. File: server.js:20 (https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-f659475c-46d7-4447-9f15-5284038d2735/blob/ad43b8170583d00e28f15b489f34036a69cd1679/demos/xhr/server.js#L20)
    • Data Flows: 1
    • Detected: 2025-11-27 10:17 PM
    • Violated Workflows: N/A
    • Violation Priority: N/A
    • Violation SLA: N/A
  4. File: server.js:24 (https://github.com/SAST-UP-DP-DEV-env/SAST-Test-Repo-f659475c-46d7-4447-9f15-5284038d2735/blob/ad43b8170583d00e28f15b489f34036a69cd1679/demos/xhr/server.js#L24)
    • Data Flows: 2
    • Detected: 2025-11-27 10:17 PM
    • Violated Workflows: N/A
    • Violation Priority: N/A
    • Violation SLA: N/A

Description: Although these are classified as low severity, Log Forging vulnerabilities should not be ignored. They can be exploited to tamper with log data, making it difficult to detect and investigate security incidents. Each of the identified files contains code where user input is directly written to log files without proper encoding or sanitization.

Vulnerable Code Snippet: The vulnerable code snippets in these files involve the direct use of user-provided data in log messages. Without proper sanitization, an attacker can inject arbitrary log entries, potentially hiding malicious activity or injecting misleading information.

Secure Code Warrior Training Material: For comprehensive training and resources on mitigating Log Forging vulnerabilities, consider the following:

Findings Overview: A Summary Table

To provide a clear and concise summary, the following table breaks down the findings by severity, vulnerability type, CWE, language, and count:

Severity Vulnerability Type CWE Language Count
High Path/Directory Traversal CWE-22 JavaScript / Node.js 1
High Cross-Site Scripting CWE-79 JavaScript / Node.js 1
Medium Weak Pseudo-Random CWE-338 JavaScript / Node.js 2
Low Log Forging CWE-117 JavaScript / Node.js 4

This table provides an at-a-glance view of the vulnerabilities, allowing teams to prioritize remediation efforts based on severity and impact.

Conclusion: Prioritizing and Addressing Vulnerabilities

This code security report highlights the importance of continuous security scanning and the need for prompt action to address identified vulnerabilities. The two high-severity findings—Path/Directory Traversal and Cross-Site Scripting—require immediate attention due to their potential impact. Medium-severity Weak Pseudo-Random vulnerabilities should also be addressed to prevent the compromise of security-sensitive features. While the Log Forging vulnerabilities are classified as low severity, they should be addressed to maintain the integrity of log data and prevent potential misuse.

By understanding the details of these findings and utilizing the provided resources, development teams can take proactive steps to secure their applications. Regular training, secure coding practices, and continuous monitoring are essential components of a robust security posture. Addressing these vulnerabilities will significantly enhance the overall security and reliability of the application.

For additional information on secure coding practices and vulnerability mitigation, consider exploring resources like the OWASP Foundation, a trusted source for web application security knowledge.