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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

        Database queries should not be vulnerable to injection attacks

        intentionality - complete
        security
        Vulnerability
        • cwe
        • sql
        • injection

        Why is this an issue?

        How can I fix it?

        More Info

        Database injections (such as SQL injections) occur in an application when the application retrieves data from a user or a third-party service and inserts it into a database query without sanitizing it first.

        If an application contains a database query that is vulnerable to injections, it is exposed to attacks that target any database where that query is used.

        A user with malicious intent is able to modify the existing query to change its logic to a malicious one.

        After creating the malicious request, the attacker can attack the databases affected by this vulnerability without relying on any pre-requisites.

        What is the potential impact?

        In the context of a web application that is vulnerable to SQL injection:
        After discovering the injection, attackers inject data into the vulnerable field to execute malicious commands in the affected databases.

        Below are some real-world scenarios that illustrate some impacts of an attacker exploiting the vulnerability.

        Identity spoofing and data manipulation

        A malicious database query enables privilege escalation or direct data leakage from one or more databases. This threat is the most widespread impact.

        Data deletion and denial of service

        The malicious query makes it possible for the attacker to delete data in the affected databases.
        This threat is particularly insidious if the attacked organization does not maintain a disaster recovery plan (DRP).

        Chaining DB injections with other vulnerabilities

        Attackers who exploit SQL injections rely on other vulnerabilities to maximize their profits.
        Most of the time, organizations overlook some defense in depth measures because they assume attackers cannot reach certain points in the infrastructure. This misbehavior can lead to multiple attacks with great impact:

        • When secrets are stored unencrypted in databases: Secrets can be exfiltrated and lead to compromise of other components.
        • If server-side OS and/or database permissions are misconfigured, injection can lead to remote code execution (RCE).
          • See our article on this topic
          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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