A new cyber-enabled financial fraud scheme, known as the "rent-a-bank-account" scam, is turning unsuspecting individuals into money mules. This scam is rapidly proliferating and poses a significant threat to financial systems and national security.

The "Dark Partners" group is conducting a global crypto theft campaign using fake websites mimicking popular AI, VPN, and crypto apps. These sites distribute Poseidon (macOS) and Lumma (Windows) infostealers, along with the PayDay Loader malware.

A novel botnet campaign dubbed AyySSHush has compromised over 9,000 ASUS routers, including models RT-AC3100, RT-AC3200, and RT-AX55. The campaign leverages brute-force attacks, authentication bypass, and exploitation of known vulnerabilities.

Citrix has disclosed three high-severity vulnerabilities (CVE-2025-27462, CVE-2025-27463, CVE-2025-27464) in XenServer VM Tools for Windows, enabling attackers to escalate privileges within guest Windows VMs.

LexisNexis Risk Solutions has disclosed a significant data breach that compromised the personal information of over 364,000 individuals. The breach involved unauthorized access to a third-party software development platform used by the company.

A new stealthy attack technique is leveraging Distributed Component Object Model (DCOM) objects on Windows systems to harvest credentials without deploying payloads or triggering traditional security alerts.

A sophisticated phishing campaign has been uncovered that impersonates Coursera and offers a free Meta Social Media Marketing certificate to lure victims into a multi-stage phishing trap.

Zanubis is a sophisticated Android banking Trojan active since 2022, targeting Peruvian financial institutions. It masquerades as legitimate apps to trick users into granting accessibility permissions, enabling full device control.

Researchers observed a coordinated cloud-based scanning operation involving 251 Amazon-hosted IP addresses geolocated in Japan. They targeted 75 known exposure points across various technologies, exploiting multiple high-severity vulnerabilities.