Vulnerable sample for Action test

[souro1212]

This PR intentionally adds risky patterns for testing ai-secure-code-review-action.

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📥 Commits

Reviewing files that changed from the base of the PR and between bfe0199 and 31d4997.

📒 Files selected for processing (1)

• Program.cs (1 hunks)

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• Commit unit tests in branch feat/vuln-demo

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[github-actions]

🔐 Secure Code Review (AI)

Risk Summary: High (2), Medium (1)

1. Finding: SQL Injection

   • Why it matters: The code constructs an SQL query using string concatenation, which allows an attacker to manipulate the id parameter and execute arbitrary SQL commands, potentially leading to data leakage or modification.
   • Evidence (diff lines):

     var cmd = new SqlCommand("SELECT * FROM Users WHERE Id = '" + id + "'", conn);

   • Fix (concrete): Use parameterized queries to prevent SQL injection:

     var cmd = new SqlCommand("SELECT * FROM Users WHERE Id = @id", conn);
     cmd.Parameters.AddWithValue("@id", id);

2. Finding: Information Disclosure

   • Why it matters: The endpoint /user returns a generic "ok" response without any error handling or validation, which may expose sensitive information if the query fails or if the user does not exist.
   • Evidence (diff lines):

     return "ok";

   • Fix (concrete): Implement proper error handling and return meaningful HTTP status codes:

     try {
         // Execute command and process results
     } catch (Exception ex) {
         return Results.Problem("An error occurred: " + ex.Message);
     }

3. Finding: Weak Random Number Generation

   • Why it matters: The use of Random for generating tokens may lead to predictability, making it easier for attackers to guess valid tokens.
   • Evidence (diff lines):

     app.MapGet("/token", () => new Random().Next().ToString());

   • Fix (concrete): Use a cryptographically secure random number generator:

     app.MapGet("/token", () => Convert.ToBase64String(RandomNumberGenerator.GetBytes(16)));

Safeguards Checklist:

• Parameterized queries used to prevent SQL injection.
• Proper error handling implemented.
• Secure random number generation used.
• Sensitive data not logged or exposed.
• Input validation implemented.

Note: The diff is small and focused, but ensure to review the entire context of the application for additional security concerns.

---

Models can make mistakes. Verify before merging.

[secure-code-warrior-for-github]

Micro-Learning Topic: Injection attack (Detected by phrase)

Matched on "injection attack"

Injection flaws, such as SQL, NoSQL, OS, and LDAP injection, occur when untrusted data is sent to an interpreter as part of a command or query. The attacker’s hostile data can trick the interpreter into executing unintended commands or accessing data without proper authorization. Source: https://www.owasp.org/index.php/Category:OWASP_Top_Ten_Project

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Helpful references

• OWASP Top Ten 2021 A03: Injection - OWASP Top Ten articles provide basic techniques to protect against these high risk problem areas, and guidance on where to go next.
• OWASP Injection Prevention Cheat Sheet in Java - This article is focused on providing clear, simple, actionable guidance for preventing injection flaws in your Java applications.
• OWASP Input Validation Cheat Sheet - This cheatsheet is focused on providing clear, simple, actionable guidance for preventing injection and input validation flaws in your applications.
• OWASP Injection Prevention Cheat Sheet - This article is focused on providing clear, simple, actionable guidance for preventing injection flaws in your applications.
• OWASP Top Ten Proactive Controls 2018 C5: Validate All Inputs - Detailed article on input validation as a programming technique for ensuring that only properly formatted data may enter a software system component.

Micro-Learning Topic: SQL injection (Detected by phrase)

Matched on "SQL Injection"

What is this? (2min video)

This is probably one of the two most exploited vulnerabilities in web applications and has led to a number of high profile company breaches. It occurs when an application fails to sanitize or validate input before using it to dynamically construct a statement. An attacker that exploits this vulnerability will be able to gain access to the underlying database and view or modify data without permission.

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Helpful references

• PHP SQL Injection Page - A detailed page on SQL injection in the online PHP manual.
• OWASP SQL Injection Prevention Cheat Sheet - This article is focused on providing clear, simple, actionable guidance for preventing SQL Injection flaws in your applications.
• OWASP SQL Injection - OWASP community page with comprehensive information about SQL injection, and links to various OWASP resources to help detect or prevent it.
• OWASP Query Parameterization Cheat Sheet - A derivative work of the OWASP SQL Injection Prevention Cheat Sheet focused on SQL query parameterization.
• Preventing SQL Injection Attacks With Python - A tutorial on crafting parameterized queries, SQL composition and safe query execution in Python.

[secure-code-warrior-for-github]

Micro-Learning Topic: Information disclosure (Detected by phrase)

Matched on "Information Disclosure"

Many web applications and APIs do not properly protect sensitive data, such as financial, healthcare, and PII. Attackers may steal or modify such weakly protected data to conduct credit card fraud, identity theft, or other crimes. Sensitive data may be compromised without extra protection, such as encryption at rest or in transit, and requires special precautions when exchanged with the browser. Source: https://www.owasp.org/index.php/Category:OWASP_Top_Ten_Project

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