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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

        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

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