p2p messenger | Breaking Cybersecurity News | The Hacker News

Threat actors have begun to use the Tox peer-to-peer instant messaging service as a command-and-control method, marking a shift from its earlier role as a contact method for ransomware negotiations. The findings from Uptycs, which analyzed an Executable and Linkable Format (ELF) artifact (" 72client ") that functions as a bot and can run scripts on the compromised host using the Tox protocol. Tox is a  serverless protocol  for online communications that offers end-to-end encryption (E2EE) protections by making use of the Networking and Cryptography library ( NaCl , pronounced "salt") for encryption and authentication. "The binary found in the wild is a stripped but dynamic executable, making decompilation easier," researchers Siddharth Sharma and Nischay Hedge  said . "The entire binary appears to be written in C, and has only  statically linked  the c-toxcore library." It's worth noting that c-toxcore is a  reference implementation  of...

Bitmessage developers have warned of a critical 'remotely executable' zero-day vulnerability in the PyBitmessage application that was being exploited in the wild. Bitmessage is a Peer-to-Peer (P2P) communications protocol used to send encrypted messages to users. Since it is decentralized and trustless communications, one need-not inherently trust any entities like root certificate authorities. Those who unaware, PyBitmessage is the official client for Bitmessage messaging service. According to Bitmessage developers, a critical zero-day remote code execution vulnerability, described as a message encoding flaw, affects PyBitmessage version 0.6.2 for Linux, Mac, and Windows and has been exploited against some of their users. "The exploit is triggered by a malicious message if you are the recipient (including joined chans). The attacker ran an automated script but also opened, or tried to open, a remote reverse shell," Bitmessage core developer Peter Šurda ex...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...