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Threat reports are collated after intensive research by our Threat Research and Response Team. They provide an overview and analysis of threat activity reported from Quick Heal installations all over the world.
QUICK HEAL QUARTERLY THREAT REPORT, Q2 2021
Quarter 2 saw a concerning amount of cyber activity, including ransomware & phishing attacks. The Threat Report covers insights on various cyberattacks, tech support scams, & details on top malware detections in both Windows & Android from April to June.
Quick Heal Annual Threat Report 2021
Quick Heal Security Labs detected 673 million Windows Malware in 2020 — the numbers have nearly halved in comparison with 2019 that saw malware numbers at 1.03 billion. Read our Annual Threat Report 2020 for detailed insights.
QUICK HEAL QUARTERLY THREAT REPORT, Q1 2021
Compared to Q4-2020, there is a 5% rise in the malware numbers as in Q1 2021. The Quick Heal Q1 – 2021 Threat Report covers insights on various cybersecurity events, malware, and spam analysis from January to March, Q1 of 2021.
This section is dedicated to papers that are based on experiments and practice of germane issues regarding security. Some of these papers have been presented at International security seminars and technical conferences. The range of papers are aimed at system administrators, security specialists or academicians interested in understanding the issues.
The Complete story of EMOTET
Emotet started as a banking trojan but this paper will shed light on how it has also become a "threat distributor". We will also discuss server-side and client-side activity and how it spreads.
EternalBlue - A Prominent Threat Actor of 2017-2018
This Technical paper outlines the usage of the Fuzzbunch exploit framework, details of MS17-010 patch, and insights into the EternalBlue exploit and DoublePulsar payload.
Automated Malware (mis)Classification and Challenges
This paper talks about Quick Heal’s study regarding Anti-Malware and Automated Malware Classification. It also discusses the preventive measures against Automated Malware.