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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
Filtered: 26 rules found
injection
    Impact
      Clean code attribute
        1. Server-side requests should not be vulnerable to traversing attacks

           Vulnerability
        2. Stack traces should not be disclosed

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

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

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

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

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

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

           Vulnerability
        9. Constructing arguments of system commands from user input is security-sensitive

           Security Hotspot
        10. Applications should not create session cookies from untrusted input

           Vulnerability
        11. Reflection should not be vulnerable to injection attacks

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

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

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

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

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

           Vulnerability
        17. Logging should not be vulnerable to injection attacks

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

           Vulnerability
        19. Deserialization should not be vulnerable to injection attacks

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

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

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

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

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

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

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

           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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