Password cracking involves exploiting weaknesses in password storage or using various techniques to guess or retrieve passwords, often to gain unauthorized access to systems. It highlights the importance of strong, unique passwords and robust security measures to protect sensitive information.
Encryption is the process of converting information or data into a code to prevent unauthorized access, ensuring confidentiality and data integrity. It is a fundamental technology in cybersecurity, used in various applications such as securing communications, protecting sensitive data, and verifying identities.
A dictionary attack is a method used to breach a password-protected system by systematically entering every word in a predefined list, often derived from a dictionary or common password database. This attack exploits the tendency of users to choose simple, common passwords, making it a significant threat to cybersecurity if not mitigated by strong password policies and additional security measures.
Rate limiting is a technique used to control the amount of incoming and outgoing traffic to or from a network, API, or service, ensuring stability and preventing abuse or overuse. It is crucial for maintaining service quality, preventing denial of service attacks, and managing resource allocation effectively.
Argon2 is a cryptographic hashing algorithm designed to provide secure password hashing by being resistant to brute-force and side-channel attacks. It is the winner of the Password Hashing Competition and offers three variants: Argon2d, Argon2i, and Argon2id, each with different focuses on resistance to GPU cracking and side-channel attacks.
Argon2 is a memory-hard password hashing algorithm that was the winner of the Password Hashing Competition in 2015, designed to resist both brute-force attacks and side-channel attacks. It offers three variants—Argon2d, Argon2i, and Argon2id—each optimized for different security needs, such as resistance to GPU cracking or side-channel attacks.
GPU cracking leverages the parallel processing power of graphics processing units to accelerate the decryption of passwords and cryptographic keys, making it significantly faster than traditional CPU-based methods. This approach is particularly effective for brute-force attacks, where numerous combinations are tested simultaneously to find the correct one.
The Password Hashing Competition (PHC) was an initiative launched in 2013 to identify and select a new, robust password hashing scheme to improve security standards. The competition concluded in 2015 with the selection of Argon2 as the winner, which is now widely recommended for its resistance to brute-force and side-channel attacks.
Iterative Hashing is a cryptographic technique that involves repeatedly applying a hash function to an input to enhance security or achieve a specific cryptographic property. This method is often used in password hashing and blockchain technology to increase resistance against brute-force attacks and ensure data integrity.
Password-Based Key Derivation is a cryptographic technique used to transform a password into a cryptographic key, enhancing security by making the key difficult to guess or derive. This process often involves the use of a salt and multiple iterations to thwart brute-force attacks and ensure that even weak passwords can be strengthened for secure encryption.
PBKDF2 (Password-Based Key Derivation Function 2) is a cryptographic algorithm used to derive a secure encryption key from a password by applying a pseudorandom function, such as HMAC, multiple times. It enhances security by using a salt and iterating the hash function multiple times to make brute-force attacks computationally expensive.
Key stretching is a cryptographic technique used to enhance the security of weak keys by increasing the computational effort required to crack them. It involves repeatedly hashing or encrypting the key to produce a longer, more complex key, thereby making brute-force attacks more difficult and time-consuming.
GPU resistance refers to the ability of certain cryptographic algorithms to remain secure and efficient even when executed on Graphics Processing Units, which are optimized for parallel processing. This resistance is crucial in preventing adversaries from leveraging the massive parallelism of GPUs to accelerate brute-force attacks or other cryptanalysis methods.
Time-memory trade-off is a computational strategy where increased memory usage is leveraged to reduce the time required to solve a problem, or vice versa. This approach is often used in cryptography and algorithm optimization to balance resource constraints effectively.
Memory-hard functions are cryptographic primitives designed to require a significant amount of memory to compute, making them resistant to attacks using specialized hardware like ASICs and GPUs. They are particularly useful in applications like password hashing and proof-of-work systems, where they help to ensure that the cost of brute-force attacks remains prohibitively high.
Memory hardness refers to the requirement that computational problems or algorithms consume a significant amount of memory resources, making them resistant to attacks that leverage parallel processing or specialized hardware like ASICs. This property is crucial in cryptographic applications, such as password hashing, to ensure that brute-force attacks are computationally expensive and impractical.