Rainbow Table Attack: A Detailed Guide
Rainbow Table Attack reverses hashed passwords using precomputed tables. Faster than brute-force, but ineffective against salted & slow hashes (bcrypt/PBKDF2). Defense: Always salt + stretch passwords!
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Rainbow Table Attack reverses hashed passwords using precomputed tables. Faster than brute-force, but ineffective against salted & slow hashes (bcrypt/PBKDF2). Defense: Always salt + stretch passwords!
How do computers understand our words, emojis, and symbols? Through text encoding - the process that translates human-readable characters into binary (0s and 1s). This guide explores key encoding methods including: ASCII , UTF-8, Base64, Url Encoding,
Learn how to securely store passwords in a database with this comprehensive guide. Discover best practices like using Argon2 or bcrypt, salting, and key stretching. Avoid common pitfalls and implement robust security with step-by-step Python and Node.js examples. Protect user data effectively!
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Dive into the world of ACID transactions in databases with this comprehensive guide. Learn how Atomicity, Consistency, Isolation, and Durability ensure reliable and safe database operations, preventing issues like partial updates and data corruption.
Distributed locking ensures that multiple processes in a distributed system access shared resources without conflicts. This guide explains what distributed locking is, why it’s needed, how it works, and tools like ZooKeeper, Redis, and Etcd that make it happen.
A Single Point of Failure (SPOF) can bring an entire system to a halt if it breaks. This guide explains what SPOFs are, where they hide in hardware, software, and third-party services, and how to eliminate them using redundancy, replication, and automation. Learn practical steps to build a reliable.
Consistent Hashing minimizes data movement in distributed systems using a hash ring for key-server mapping. Virtual nodes improve load balancing; MD5 or MurmurHash ensures even distribution. Paired with replication, it enhances fault tolerance in systems like DynamoDB. Tuning VNodes optimizes scalab