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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

        Server certificates should be verified during SSL/TLS connections

        responsibility - trustworthy
        security
        Vulnerability
        • cwe
        • privacy
        • ssl

        This vulnerability makes it possible that an encrypted communication is intercepted.

        Why is this an issue?

        How can I fix it?

        More Info

        Transport Layer Security (TLS) provides secure communication between systems over the internet by encrypting the data sent between them. Certificate validation adds an extra layer of trust and security to this process to ensure that a system is indeed the one it claims to be.

        When certificate validation is disabled, the client skips a critical security check. This creates an opportunity for attackers to pose as a trusted entity and intercept, manipulate, or steal the data being transmitted.

        What is the potential impact?

        Establishing trust in a secure way is a non-trivial task. When you disable certificate validation, you are removing a key mechanism designed to build this trust in internet communication, opening your system up to a number of potential threats.

        Identity spoofing

        If a system does not validate certificates, it cannot confirm the identity of the other party involved in the communication. An attacker can exploit this by creating a fake server and masquerading as a legitimate one. For example, they might set up a server that looks like your bank’s server, tricking your system into thinking it is communicating with the bank. This scenario, called identity spoofing, allows the attacker to collect any data your system sends to them, potentially leading to significant data breaches.

        Loss of data integrity

        When TLS certificate validation is disabled, the integrity of the data you send and receive cannot be guaranteed. An attacker could modify the data in transit, and you would have no way of knowing. This could range from subtle manipulations of the data you receive to the injection of malicious code or malware into your system. The consequences of such breaches of data integrity can be severe, depending on the nature of the data and the system.

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          on-premise CI

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