Quick Heal Resources is a reservoir of downloads and media to help you choose the right products that suit your requirements and help protect your valuable data or IT network from web-based threats.
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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, Q3 2022
Quarter 3 report provides holistic and multilayered cybersecurity trends highlighting numbers to protect people from increasing attacks. Read more from our Q3 Threat Report 2022 for detailed insights.
Quick Heal Annual Threat Report 2022
In 2022, malware and other cyber attacks continues to be a significant problem worldwide. New APT, phishing & ransomware attacks, zero-day exploits, and supply chain attacks, are some predictions outlined by the researchers. Download the report now!
QUICK HEAL QUARTERLY THREAT REPORT, Q2 2022
Quarter 2 covers the insights from the past three months on various Malware, Trojan, and Exploit. Read the report to get more insights into the threat landscape.
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.