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What is the purpose of hashing passwords before storing them in a database?

by EITCA Academy / Saturday, 05 August 2023 / Published in Cybersecurity, EITC/IS/WASF Web Applications Security Fundamentals, Server security, Local HTTP server security, Examination review

In the realm of cybersecurity, the protection of user passwords is of utmost importance. One commonly employed technique to safeguard passwords is hashing them before storing them in a database. Hashing is a cryptographic process that converts plain-text passwords into a fixed-length string of characters. This technique serves multiple purposes, all aimed at enhancing the security of user passwords and mitigating the risks associated with unauthorized access to sensitive information.

The primary purpose of hashing passwords is to prevent the exposure of plain-text passwords in the event of a data breach. In the unfortunate scenario where a database is compromised, hashed passwords provide an additional layer of defense. Since the hash function is designed to be one-way, it is computationally infeasible to reverse-engineer the original password from its hash value. As a result, even if an attacker gains access to the hashed passwords, they would be unable to determine the actual passwords without significant computational resources.

Moreover, hashing passwords helps protect against the use of rainbow tables. Rainbow tables are precomputed tables of hash values for a vast number of possible passwords. By comparing the hashed passwords in the database against these tables, attackers can quickly identify the original passwords. However, by using hashing algorithms, such as bcrypt, scrypt, or Argon2, which incorporate a salt, the resulting hash value is unique to each user. Salting involves appending a random string of characters to the password before hashing, thereby ensuring that even if two users have the same password, their hash values will differ. This makes it significantly more challenging for attackers to use precomputed tables effectively.

Additionally, hashing passwords aids in protecting against brute-force attacks. In a brute-force attack, an attacker systematically tries all possible passwords until the correct one is found. By using a slow hashing algorithm, such as bcrypt, the time required to compute the hash is increased. Consequently, the number of attempts an attacker can make within a given timeframe is significantly reduced, making brute-force attacks less feasible.

It is worth noting that hashing passwords alone is not sufficient for optimal security. To further enhance the protection of user passwords, it is recommended to incorporate additional measures, such as using a secure connection (HTTPS) to transmit passwords, enforcing strong password policies, and implementing multi-factor authentication.

Hashing passwords before storing them in a database is a fundamental practice in web application security. It serves the purpose of preventing the exposure of plain-text passwords, protecting against the use of rainbow tables, and mitigating brute-force attacks. By employing hashing algorithms with salts and slow computational processes, the security of user passwords is significantly enhanced, reducing the risk of unauthorized access to sensitive information.

Other recent questions and answers regarding EITC/IS/WASF Web Applications Security Fundamentals:

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View more questions and answers in EITC/IS/WASF Web Applications Security Fundamentals

More questions and answers:

  • Field: Cybersecurity
  • Programme: EITC/IS/WASF Web Applications Security Fundamentals (go to the certification programme)
  • Lesson: Server security (go to related lesson)
  • Topic: Local HTTP server security (go to related topic)
  • Examination review
Tagged under: Brute-Force Attacks, Cryptography, Cybersecurity, Hashing, Password Security, Rainbow Tables
Home » Cybersecurity / EITC/IS/WASF Web Applications Security Fundamentals / Examination review / Local HTTP server security / Server security » What is the purpose of hashing passwords before storing them in a database?

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