Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can.

Random number generators have been around for ages, but they often have subtle imperfections that cause patterns to emerge.

Abstract: Fuzzing [1] is a well-known technique which was employed to provide unexpected or random data as input to JavaScript engines in hopes of finding a security vulnerability. For effective ...

Update: Added Wikimedia Foundation's statement below and made a correction to denote it was only the Meta-Wiki that was vandalized. The Wikimedia Foundation suffered a security incident today after a ...

Asked to guess a number between 1 and 50, OpenAI's ChatGPT, Anthropic's Claude Sonnet 4, Google's Gemini 2.5 Flash, and Meta's Llama 4 all provided the same answer: 27. Those who see conspiracies ...

Community driven content discussing all aspects of software development from DevOps to design patterns. WebAssembly was created to perform the highly complex and overwhelmingly sophisticated ...

“An amazing level of senseless perfectionism, which is simply impossible not to respect.” Nano ID is quite comparable to UUID v4 (random-based). It has a similar number of random bits in the ID (126 ...

A medium-severity flaw has been discovered in Synology's DiskStation Manager (DSM) that could be exploited to decipher an administrator's password and remotely hijack the account. "Under some rare ...