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C#

C# static code analysis

Unique rules to find Bugs, Vulnerabilities, Security Hotspots, and Code Smells in your C# code

  • All rules 493
  • Vulnerability46
  • Bug88
  • Security Hotspot24
  • Code Smell335

  • Quick Fix 61
 
Tags
    Impact
      Clean code attribute
        1. Server-side requests should not be vulnerable to traversing attacks

           Vulnerability
        2. Content Security Policies should be restrictive

           Vulnerability
        3. JWT secret keys should not be disclosed

           Vulnerability
        4. Stack traces should not be disclosed

           Vulnerability
        5. Loop boundaries should not be vulnerable to injection attacks

           Vulnerability
        6. Connection strings should not be vulnerable to injections attacks

           Vulnerability
        7. Memory allocations should not be vulnerable to Denial of Service attacks

           Vulnerability
        8. Accessing files should not lead to filesystem oracle attacks

           Vulnerability
        9. Environment variables should not be defined from untrusted input

           Vulnerability
        10. XML operations should not be vulnerable to injection attacks

           Vulnerability
        11. XML signatures should be validated securely

           Vulnerability
        12. Applications should not create session cookies from untrusted input

           Vulnerability
        13. Reflection should not be vulnerable to injection attacks

           Vulnerability
        14. Extracting archives should not lead to zip slip vulnerabilities

           Vulnerability
        15. OS commands should not be vulnerable to argument injection attacks

           Vulnerability
        16. Types allowed to be deserialized should be restricted

           Vulnerability
        17. JWT should be signed and verified with strong cipher algorithms

           Vulnerability
        18. Cipher algorithms should be robust

           Vulnerability
        19. Encryption algorithms should be used with secure mode and padding scheme

           Vulnerability
        20. Insecure temporary file creation methods should not be used

           Vulnerability
        21. Passwords should not be stored in plaintext or with a fast hashing algorithm

           Vulnerability
        22. Dynamic code execution should not be vulnerable to injection attacks

           Vulnerability
        23. NoSQL operations should not be vulnerable to injection attacks

           Vulnerability
        24. HTTP request redirections should not be open to forging attacks

           Vulnerability
        25. Logging should not be vulnerable to injection attacks

           Vulnerability
        26. Server-side requests should not be vulnerable to forging attacks

           Vulnerability
        27. Deserialization should not be vulnerable to injection attacks

           Vulnerability
        28. Endpoints should not be vulnerable to reflected cross-site scripting (XSS) attacks

           Vulnerability
        29. Server certificates should be verified during SSL/TLS connections

           Vulnerability
        30. LDAP connections should be authenticated

           Vulnerability
        31. Cryptographic keys should be robust

           Vulnerability
        32. Weak SSL/TLS protocols should not be used

           Vulnerability
        33. Secure random number generators should not output predictable values

           Vulnerability
        34. Serialization constructors should be secured

           Vulnerability
        35. Members should not have conflicting transparency annotations

           Vulnerability
        36. "CoSetProxyBlanket" and "CoInitializeSecurity" should not be used

           Vulnerability
        37. Database queries should not be vulnerable to injection attacks

           Vulnerability
        38. Cipher Block Chaining IVs should be unpredictable

           Vulnerability
        39. XML parsers should not be vulnerable to XXE attacks

           Vulnerability
        40. Regular expressions should not be vulnerable to Denial of Service attacks

           Vulnerability
        41. A secure password should be used when connecting to a database

           Vulnerability
        42. XPath expressions should not be vulnerable to injection attacks

           Vulnerability
        43. I/O function calls should not be vulnerable to path injection attacks

           Vulnerability
        44. LDAP queries should not be vulnerable to injection attacks

           Vulnerability
        45. OS commands should not be vulnerable to command injection attacks

           Vulnerability
        46. Password hashing functions should use an unpredictable salt

           Vulnerability

        Logging should not be vulnerable to injection attacks

        intentionality - complete
        security
        Vulnerability
        • cwe
        • injection

        Why is this an issue?

        How can I fix it?

        More Info

        Log injection occurs when an application fails to sanitize untrusted data used for logging.

        An attacker can forge log content to prevent an organization from being able to trace back malicious activities.

        What is the potential impact?

        If an attacker can insert arbitrary data into a log file, the integrity of the chain of events being recorded can be compromised.
        This frequently occurs because attackers can inject the log entry separator of the logger framework, commonly newlines, and thus insert artificial log entries.
        Other attacks could also occur requiring only field pollution, such as cross-site scripting (XSS) or code injection (for example, Log4Shell) if the logged data is fed to other application components, which may interpret the injected data differently.

        The focus of this rule is newline character replacement.

        Log Forge

        An attacker, able to create independent log entries by injecting log entry separators, inserts bogus data into a log file to conceal his malicious activities. This obscures the content for an incident response team to trace the origin of the breach as the indicators of compromise (IoCs) lead to fake application events.

          Available In:
        • SonarQube CloudDetect issues in your GitHub, Azure DevOps Services, Bitbucket Cloud, GitLab repositories
        • SonarQube ServerAnalyze code in your
          on-premise CI
          Developer Edition
          Available Since
          9.1

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