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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
Filtered: 34 rules found
Tags
    security
      Clean code attribute
        1. Credentials should not be hard-coded

           Vulnerability
        2. Hard-coded secrets are security-sensitive

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

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

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

           Vulnerability
        6. Cipher algorithms should be robust

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

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

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

           Vulnerability
        10. Using publicly writable directories is security-sensitive

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

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

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

           Vulnerability
        14. Logging should not be vulnerable to injection attacks

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

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

           Vulnerability
        17. Using weak hashing algorithms is security-sensitive

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

           Security Hotspot
        19. Cryptographic keys should be robust

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

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

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

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

           Security Hotspot
        24. Cipher Block Chaining IVs should be unpredictable

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

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

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

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

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

           Vulnerability
        30. Formatting SQL queries is security-sensitive

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

           Vulnerability
        32. Hard-coded credentials are security-sensitive

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

           Vulnerability
        34. Using hardcoded IP addresses is security-sensitive

           Security Hotspot

        Formatting SQL queries is security-sensitive

        intentionality - complete
        maintainability
        security
        Security Hotspot
        • cwe
        • bad-practice
        • sql

        Formatted SQL queries can be difficult to maintain, debug and can increase the risk of SQL injection when concatenating untrusted values into the query. However, this rule doesn’t detect SQL injections (unlike rule S3649), the goal is only to highlight complex/formatted queries.

        Ask Yourself Whether

        • Some parts of the query come from untrusted values (like user inputs).
        • The query is repeated/duplicated in other parts of the code.
        • The application must support different types of relational databases.

        There is a risk if you answered yes to any of those questions.

        Recommended Secure Coding Practices

        • Use parameterized queries, prepared statements, or stored procedures and bind variables to SQL query parameters.
        • Consider using ORM frameworks if there is a need to have an abstract layer to access data.

        Sensitive Code Example

        func getName(db *sql.DB, id string) (string, error) {
            var name string
            row := db.QueryRow("SELECT name FROM users WHERE id = " + id) // Sensitive
        
            if err := row.Scan(&name); err != nil {
                if err == sql.ErrNoRows {
                    return name, fmt.Errorf("No name found for id %s", id)
                }
            }
        
            return name, nil
        }
        

        Compliant Solution

        func getName(db *sql.DB, id string) (string, error) {
            var name string
            row := db.QueryRow("SELECT name FROM users WHERE id = ?", id)
        
            if err := row.Scan(&name); err != nil {
                if err == sql.ErrNoRows {
                    return name, fmt.Errorf("No name found for id %s", id)
                }
            }
        
            return name, nil
        }
        

        See

        • OWASP - Top 10 2021 Category A3 - Injection
        • OWASP - Top 10 2017 Category A1 - Injection
        • CWE - CWE-20 - Improper Input Validation
        • CWE - CWE-89 - Improper Neutralization of Special Elements used in an SQL Command
        • Derived from FindSecBugs rules Potential SQL/JPQL Injection (JPA), Potential SQL/JDOQL Injection (JDO), Potential SQL/HQL Injection (Hibernate)
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