Последние обновления

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.

This analysis investigates the security risks of eKYC systems in relation to deepfake attacks, highlighting the diverse strategies employed by cybercriminals in bypassing eKYC security measures.

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.

Cellular IoT vulnerabilities show an increasing trend over the years, indicating that these devices are becoming more and more popular — and that they are being targeted more frequently.

INC ransomware was first detected in July 2023, but has already released new versions: one that targets Linux computers and an update on their Windows variant. The ransomware has been observed to exploit CVE-2023-3519 and uses HackTool.Win32.ProcTerminator.A for defense evasion and HackTool.PS1.VeeamCreds for credential access in its different attack chains.

Quantum machine learning (QML) is at the nexus of two very hyped topics: artificial intelligence and quantum computing. Ignoring the AI hype, let's explore how realistic quantum machine learning is.