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Hacktivist groups are driven by a political or ideological agenda. In the past, their actions were likened to symbolic, digital graffiti. Nowadays, hacktivist groups resemble urban gangs. Previously composed of low-skilled individuals, these groups have evolved into medium- to high-skill teams, often smaller in size but far more capable.

What does the present state of the Spanish-speaking cybercriminal underground look like? What are the most common scams and other illicit offerings peddled by cybercriminals? Unearth the secrets of the Spanish dark market in our research.

The English-speaking cybercriminal underground market has undergone significant transformations. We examine how it has adapted to new technology, increased law enforcement scrutiny, and linguistic diversification.

Despite being a young ransomware group, RansomHub moves boldly by targeting larger enterprises more likely to pay ransoms. With possible links to notorious ransomware names like BlackCat and Knight, the gang is a group to watch out for.

Consumer data will be the hot commodity in the underground for 2025, with cybercrime expected to cost over $10 trillion in this coming year. Criminals will continue to develop new ways to exploit vulnerable areas, increasing enterprise risk as the attack surface expands.

Threat actors are actively looking for exposed .env files. These files have become ticking bombs deeply rooted inside DevOps practices. Our research paper uncovers the hidden dangers in DevOps using real-world examples.

This article highlights the critical importance of reducing the Cyber Risk Index, presenting findings that establishes a significant correlation between higher Risk Indices and increased susceptibility to ransomware infections.

Digital Assistants (DA) are AI-driven software, sometimes embedded into dedicated hardware and integrated with multiple systems, that understand natural language and use them to perform various tasks

How can misconfigurations help threat actors abuse AI to launch hard-to-detect attacks with massive impact? We reveal how AI models stored in exposed container registries could be tampered with— and how organizations can protect their systems.