Vulnerabilities and exploits

We analyze external threats for organizations in APAC region based on the data collected by Kaspersky Digital Footprint Intelligence service.

In this report, we discuss the new multi-platform ransomware RedAlert (aka N13V) and Monster, as well as private 1-day exploits for the CVE-2022-24521 vulnerability.

Our non-mobile malware statistics for Q2 2022 includes data on miners, ransomware, banking Trojans, and other threats to Windows, macOS and IoT devices.

ToddyCat APT and WinDealer man-on-the-side attack, Spring4Shell and other vulnerabilities, ransomware trends and our in-depth analysis of the TTPs of the eight most widespread ransomware families.

What cybercriminals charge for the data of large companies on the dark web – a review of underground forum offers by category.

We analyze data on vulnerabilities in routers, plus malware that attacks IoT devices: Mirai, NyaDrop, Gafgyt, and other.

At the end of May, researchers reported a new zero-day vulnerability in MSDT that can be exploited using Microsoft Office documents. The vulnerability, which dubbed Follina, later received the identifier CVE-2022-30190.

PC malware statistics for the Q1 2022 includes data on miners, ransomware, banking Trojans, and other threats to Windows, macOS and IoT devices.

The Verizon 2022 Data Breach Investigations Report is out, where Kaspersky collaborated as a contributor. The report provides interesting analysis of a full amount of global incident data.

Technical details and mitigations for CVE-2022-22965 vulnerability (Spring4Shell) that can help an attacker to execute arbitrary code on a remote web server.

Exploit for CVE-2022-0847 (Dirty Pipe) vulnerability in Linux kernel is available online. Kaspersky solutions detect and prevent exploitation attempts.

This report contains statistics and observations on vulnerabilities, phishing schemes and malware related to telehealth.

Check out the answers to some of users’ biggest security questions about the Log4Shell vulnerabilities (CVE-2021-44228, CVE-2021-45046, CVE-2021-45105).

How to trick the machine-learning model in Anti-Spam designed to detect and quarantine suspicious e-mails, and how to detect such attacks.

Key statistics for 2021: miners, ransomware, trojan bankers and other financial malware, zero-day vulnerabilities and exploits, web attacks, threats for macOS and IoT.