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Go

Go static code analysis

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

  • All rules 94
  • Vulnerability21
  • Bug13
  • Security Hotspot14
  • Code Smell46
Filtered: 35 rules found
Tags
    security
      Clean code attribute
        1. File existence checks followed by file creation should use atomic operations

           Vulnerability
        2. Credentials should not be hard-coded

           Vulnerability
        3. Hard-coded secrets are security-sensitive

           Security Hotspot
        4. Constructing arguments of system commands from user input is security-sensitive

           Security Hotspot
        5. Extracting archives should not lead to zip slip vulnerabilities

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

           Vulnerability
        7. Cipher algorithms should be robust

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

           Vulnerability
        9. Server hostnames should be verified during SSL/TLS connections

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

           Vulnerability
        11. Using publicly writable directories is security-sensitive

           Security Hotspot
        12. Passwords should not be stored in plaintext or with a fast hashing algorithm

           Vulnerability
        13. Using clear-text protocols is security-sensitive

           Security Hotspot
        14. HTTP request redirections should not be open to forging attacks

           Vulnerability
        15. Logging should not be vulnerable to injection attacks

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

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

           Vulnerability
        18. Using weak hashing algorithms is security-sensitive

           Security Hotspot
        19. Delivering code in production with debug features activated is security-sensitive

           Security Hotspot
        20. Cryptographic keys should be robust

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

           Vulnerability
        22. Searching OS commands in PATH is security-sensitive

           Security Hotspot
        23. Database queries should not be vulnerable to injection attacks

           Vulnerability
        24. Creating cookies without the "HttpOnly" flag is security-sensitive

           Security Hotspot
        25. Cipher Block Chaining IVs should be unpredictable

           Vulnerability
        26. Setting loose POSIX file permissions is security-sensitive

           Security Hotspot
        27. Using pseudorandom number generators (PRNGs) is security-sensitive

           Security Hotspot
        28. Creating cookies without the "secure" flag is security-sensitive

           Security Hotspot
        29. XPath expressions should not be vulnerable to injection attacks

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

           Vulnerability
        31. Formatting SQL queries is security-sensitive

           Security Hotspot
        32. OS commands should not be vulnerable to command injection attacks

           Vulnerability
        33. Hard-coded credentials are security-sensitive

           Security Hotspot
        34. Password hashing functions should use an unpredictable salt

           Vulnerability
        35. Using hardcoded IP addresses is security-sensitive

           Security Hotspot

        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
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          on-premise CI

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