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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 70
  • Vulnerability20
  • Bug7
  • Security Hotspot14
  • Code Smell29
 
Tags
    Impact
      Clean code attribute
        1. Credentials should not be hard-coded

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

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

           Vulnerability
        4. Cipher algorithms should be robust

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

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

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

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

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

           Vulnerability
        10. Logging should not be vulnerable to injection attacks

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

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

           Vulnerability
        13. Cryptographic keys should be robust

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

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

           Vulnerability
        16. Cipher Block Chaining IVs should be unpredictable

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

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

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

           Vulnerability
        20. 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
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          on-premise CI

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