LLMalMorph: on the Feasibility of Generating Variant Malware Using Large-Language-Models

Large Language Models LLMs have transformed software development and automated code generation. Motivated by these advancements, this paper explores the feasibility of LLMs in modifying malware source code to generate variants. We introduce LLMalMorph, a semi-automated framework that leverages...

Snorkeling in Dark Waters: a Longitudinal Surface Exploration of Unique Tor Hidden Services (Extended Version)

The Onion Router Tor is a controversial network whose utility is constantly under scrutiny. On the one hand, it allows for anonymous interaction and cooperation of users seeking untraceable navigation on the Internet. This freedom also attracts criminals who aim to thwart law enforcement...

Researchers Demonstrate New Way to Detect MitM Phishing Kits in the Wild

No fewer than 1,220 Man-in-the-Middle MitM phishing websites have been discovered as targeting popular online services like Instagram, Google, PayPal, Apple, Twitter, and LinkedIn with the goal of hijacking users' credentials and carrying out further follow-on attacks. The findings come from a ne...

Newest Intel Side-Channel Attack Sniffs Out Sensitive Data

Intel processors are vulnerable to a new side-channel attack, which researchers said can allow attackers to steal sensitive information such as encryption keys or passwords. Unlike previous side-channel attacks, this attack does not rely on sharing memory, cache sets and other former tactics...