Signal for iPhone | Breaking Cybersecurity News | The Hacker News

After the revelation of the eFail attack details, it's time to reveal how the recently reported code injection vulnerability in the popular end-to-end encrypted Signal messaging app works. As we reported last weekend, Signal has patched its messaging app for Windows and Linux that suffered a code injection vulnerability discovered and reported by a team of white-hat hackers from Argentina. The vulnerability could have been exploited by remote attackers to inject a malicious payload inside the Signal desktop app running on the recipients' system just by sending them a specially crafted link—without requiring any user interaction. According to a blog post published today, the vulnerability was accidentally discovered while researchers–Iván Ariel Barrera Oro, Alfredo Ortega and Juliano Rizzo–were chatting on Signal messenger and one of them shared a link of a vulnerable site with an XSS payload in its URL. However, the XSS payload unexpectedly got executed on the Sig

Good News for Privacy Lovers!! An open source software group Open Whisper Systems has released the first free and Open Source phone call application for iPhone users, which is specifically designed to make secure and encrypted calls. When we talk about the privacy of our messages and voice calls, Open Whisper Systems has usually a very strong track record. Whisper is the company behind the development of RedPhone and TextSecure for Android, providing encrypted calls and texts respectively to users. Moving on to iOS devices , the company decided to produce simplest and easiest interfaces yet. Better known as Signal , a free iOS app designed to enable easy and strongly encrypted voice calls . The Signal application for iPhone is completely compatible with OWS's time-tested and well-known RedPhone . Eventually, Signal will be a combination of both RedPhone and TextSecure in a single Android application , according to a blog post . Signal makes use of end-to-end encrypt

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or