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Java

Java static code analysis

Unique rules to find Bugs, Vulnerabilities, Security Hotspots, and Code Smells in your JAVA code

  • All rules 733
  • Vulnerability60
  • Bug175
  • Security Hotspot40
  • Code Smell458

  • Quick Fix 65
 
Tags
    Impact
      Clean code attribute
        1. Sensitive information should not be logged in production builds

           Vulnerability
        2. WebViews should not be vulnerable to cross-app scripting attacks

           Vulnerability
        3. Privileged prompts should not be vulnerable to injection attacks

           Vulnerability
        4. Server-side requests should not be vulnerable to traversing attacks

           Vulnerability
        5. Accessing files should not lead to filesystem oracle attacks

           Vulnerability
        6. Environment variables should not be defined from untrusted input

           Vulnerability
        7. Credentials should not be hard-coded

           Vulnerability
        8. Counter Mode initialization vectors should not be reused

           Vulnerability
        9. XML operations should not be vulnerable to injection attacks

           Vulnerability
        10. JSON operations should not be vulnerable to injection attacks

           Vulnerability
        11. Thread suspensions should not be vulnerable to Denial of Service attacks

           Vulnerability
        12. Components should not be vulnerable to intent redirection

           Vulnerability
        13. XML signatures should be validated securely

           Vulnerability
        14. XML parsers should not be vulnerable to Denial of Service attacks

           Vulnerability
        15. XML parsers should not load external schemas

           Vulnerability
        16. XML parsers should not allow inclusion of arbitrary files

           Vulnerability
        17. Mobile database encryption keys should not be disclosed

           Vulnerability
        18. Applications should not create session cookies from untrusted input

           Vulnerability
        19. Reflection should not be vulnerable to injection attacks

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

           Vulnerability
        21. OS commands should not be vulnerable to argument injection attacks

           Vulnerability
        22. A new session should be created during user authentication

           Vulnerability
        23. Authorizations should be based on strong decisions

           Vulnerability
        24. OpenSAML2 should be configured to prevent authentication bypass

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

           Vulnerability
        26. Cipher algorithms should be robust

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

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

           Vulnerability
        29. Server-side templates should not be vulnerable to injection attacks

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

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

           Vulnerability
        32. Dynamic code execution should not be vulnerable to injection attacks

           Vulnerability
        33. "ActiveMQConnectionFactory" should not be vulnerable to malicious code deserialization

           Vulnerability
        34. NoSQL operations should not be vulnerable to injection attacks

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

           Vulnerability
        36. Logging should not be vulnerable to injection attacks

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

           Vulnerability
        38. Deserialization should not be vulnerable to injection attacks

           Vulnerability
        39. Endpoints should not be vulnerable to reflected cross-site scripting (XSS) attacks

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

           Vulnerability
        41. Persistent entities should not be used as arguments of "@RequestMapping" methods

           Vulnerability
        42. "HttpSecurity" URL patterns should be correctly ordered

           Vulnerability
        43. LDAP connections should be authenticated

           Vulnerability
        44. Cryptographic keys should be robust

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

           Vulnerability
        46. Secure random number generators should not output predictable values

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

           Vulnerability
        48. Cipher Block Chaining IVs should be unpredictable

           Vulnerability
        49. XML parsers should not be vulnerable to XXE attacks

           Vulnerability
        50. Classes should not be loaded dynamically

           Vulnerability
        51. Basic authentication should not be used

           Vulnerability
        52. Regular expressions should not be vulnerable to Denial of Service attacks

           Vulnerability
        53. "HttpServletRequest.getRequestedSessionId()" should not be used

           Vulnerability
        54. A secure password should be used when connecting to a database

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

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

           Vulnerability
        57. LDAP queries should not be vulnerable to injection attacks

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

           Vulnerability
        59. Password hashing functions should use an unpredictable salt

           Vulnerability
        60. Exceptions should not be thrown from servlet methods

           Vulnerability

        Password hashing functions should use an unpredictable salt

        responsibility - trustworthy
        security
        Vulnerability
        • cwe

        This vulnerability increases the likelihood that attackers are able to compute the cleartext of password hashes.

        Why is this an issue?

        How can I fix it?

        More Info

        During the process of password hashing, an additional component, known as a "salt," is often integrated to bolster the overall security. This salt, acting as a defensive measure, primarily wards off certain types of attacks that leverage pre-computed tables to crack passwords.

        However, potential risks emerge when the salt is deemed insecure. This can occur when the salt is consistently the same across all users or when it is too short or predictable. In scenarios where users share the same password and salt, their password hashes will inevitably mirror each other. Similarly, a short salt heightens the probability of multiple users unintentionally having identical salts, which can potentially lead to identical password hashes. These identical hashes streamline the process for potential attackers to recover clear-text passwords. Thus, the emphasis on implementing secure, unique, and sufficiently lengthy salts in password-hashing functions is vital.

        What is the potential impact?

        Despite best efforts, even well-guarded systems might have vulnerabilities that could allow an attacker to gain access to the hashed passwords. This could be due to software vulnerabilities, insider threats, or even successful phishing attempts that give attackers the access they need.

        Once the attacker has these hashes, they will likely attempt to crack them using a couple of methods. One is brute force, which entails trying every possible combination until the correct password is found. While this can be time-consuming, having the same salt for all users or a short salt can make the task significantly easier and faster.

        If multiple users have the same password and the same salt, their password hashes would be identical. This means that if an attacker successfully cracks one hash, they have effectively cracked all identical ones, granting them access to multiple accounts at once.

        A short salt, while less critical than a shared one, still increases the odds of different users having the same salt. This might create clusters of password hashes with identical salt that can then be attacked as explained before.

        With short salts, the probability of a collision between two users' passwords and salts couple might be low depending on the salt size. The shorter the salt, the higher the collision probability. In any case, using longer, cryptographically secure salt should be preferred.

        Exceptions

        To securely store password hashes, it is a recommended to rely on key derivation functions that are computationally intensive. Examples of such functions are:

        • Argon2
        • PBKDF2
        • Scrypt
        • Bcrypt

        When they are used for password storage, using a secure, random salt is required.

        However, those functions can also be used for other purposes such as master key derivation or password-based pre-shared key generation. In those cases, the implemented cryptographic protocol might require using a fixed salt to derive keys in a deterministic way. In such cases, using a fixed salt is safe and accepted.

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