SonarSource Rules
  • Products

    In-IDE

    Code Quality and Security in your IDE with SonarQube Ide

    IDE extension that lets you fix coding issues before they exist!

    Discover SonarQube for IDE

    SaaS

    Code Quality and Security in the cloud with SonarQube Cloud

    Setup is effortless and analysis is automatic for most languages

    Discover SonarQube Cloud

    Self-Hosted

    Code Quality and Security Self-Hosted with SonarQube Server

    Fast, accurate analysis; enterprise scalability

    Discover SonarQube Server
  • SecretsSecrets
  • ABAPABAP
  • AnsibleAnsible
  • ApexApex
  • AzureResourceManagerAzureResourceManager
  • CC
  • C#C#
  • C++C++
  • CloudFormationCloudFormation
  • COBOLCOBOL
  • CSSCSS
  • DartDart
  • DockerDocker
  • FlexFlex
  • GitHub ActionsGitHub Actions
  • GoGo
  • HTMLHTML
  • JavaJava
  • JavaScriptJavaScript
  • JSONJSON
  • JCLJCL
  • KotlinKotlin
  • KubernetesKubernetes
  • Objective CObjective C
  • PHPPHP
  • PL/IPL/I
  • PL/SQLPL/SQL
  • PythonPython
  • RPGRPG
  • RubyRuby
  • RustRust
  • ScalaScala
  • ShellShell
  • SwiftSwift
  • TerraformTerraform
  • TextText
  • TypeScriptTypeScript
  • T-SQLT-SQL
  • VB.NETVB.NET
  • VB6VB6
  • XMLXML
  • YAMLYAML
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
 
Tags
    Impact
      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. Extracting archives should not lead to zip slip vulnerabilities

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

           Vulnerability
        5. Cipher algorithms should be robust

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

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

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

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

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

           Vulnerability
        11. Logging should not be vulnerable to injection attacks

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

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

           Vulnerability
        14. Cryptographic keys should be robust

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

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

           Vulnerability
        17. Cipher Block Chaining IVs should be unpredictable

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

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

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

           Vulnerability
        21. Password hashing functions should use an unpredictable salt

           Vulnerability

        File existence checks followed by file creation should use atomic operations

        intentionality - logical
        security
        reliability
        Vulnerability
        • race-condition
        • toctou
        • cwe

        This rule raises an issue when code checks for file existence and then creates a file in separate operations, creating a race condition vulnerability.

        Why is this an issue?

        How can I fix it?

        More Info

        Checking if a file exists and then creating it in separate operations creates a Time-of-Check-Time-of-Use (TOCTOU) race condition. Between the existence check and the file creation, another process or thread might create or delete the file, leading to unexpected behavior.

        This race condition can cause several problems:

        • Security vulnerabilities: An attacker might create a symbolic link pointing to a sensitive file between the check and creation, causing your program to overwrite important system files.
        • Data corruption: If multiple processes try to create the same file simultaneously, they might interfere with each other’s operations.
        • Unpredictable behavior: Your program might fail unexpectedly when the file system state changes between operations.

        The root cause is that file system operations are not atomic by default. The gap between checking and acting gives other processes an opportunity to modify the file system state.

        What is the potential impact?

        Race conditions in file operations can lead to security vulnerabilities where attackers exploit the timing gap to redirect file operations to unintended locations. This can result in unauthorized file access, data corruption, or system compromise. In multi-threaded or multi-process environments, these issues can cause unpredictable application behavior and data integrity problems.

          Available In:
        • SonarQube CloudDetect issues in your GitHub, Azure DevOps Services, Bitbucket Cloud, GitLab repositories

        © 2025 SonarSource Sàrl. All rights reserved.

        Privacy Policy | Cookie Policy | Terms of Use