Menlo Security Finds Cloud Migration and Remote Work Gives Rise to New Era of Malware, Highly Evasive Adaptive Threats (HEAT)

Menlo identified 224% increase in HEAT attacks in the last six months fueling ransomware surge

 Menlo Security, a leader in cloud security, announced it has identified a surge in cyberthreats, termed Highly Evasive Adaptive Threats (HEAT) that bypass traditional security defenses. HEAT attacks are a class of cyber threats targeting web browsers as the attack vector and employs techniques to evade detection by multiple layers in current security stacks including firewalls, Secure Web Gateways, sandbox analysis, URL Reputation, and phishing detection. HEAT attacks are used to deliver malware or to compromise credentials, which in many cases leads to ransomware attacks. applications and resources and the adoption of Zero Trust solutions.

In an analysis of almost 500,000 malicious domains, The Menlo Security Labs research team discovered that 69% of these websites used HEAT tactics to deliver malware. These attacks allow bad actors to deliver malicious content to the endpoint by adapting to the targeted environment. Since July 2021, Menlo Security has seen a 224% increase in HEAT attacks.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024

“With the abrupt move to remote working in 2020, every organization had to pivot to a work from anywhere model and accelerate their migration to cloud-based applications. An industry report found that 75% of the working day is spent in a web browser, which has quickly become the primary attack surface for threat actors, ransomware and other attacks. The industry has seen an explosion in the number and sophistication of these highly evasive attacks and most businesses are unprepared and lack the resources to prevent them,” said Amir Ben-Efraim, co-founder and CEO of Menlo Security. “Cyber Threats are a mainstream problem and a boardroom issue that should be on everyone’s agenda. The threat landscape is constantly evolving, ransomware is more persistent than ever before, and HEAT attacks have rendered traditional security solutions ineffective.”

Recommended AI News: SMB Hiring Apparent in Tech Services Sector Employment Gains, CompTIA Analysis Reveals

HEAT attacks leverage one or more of the following core techniques that bypass legacy network security defenses:

• Evades Both Static and Dynamic Content Inspection: HEAT attacks evade both signature and behavioral analysis engines to deliver malicious payloads to the victim using innovative techniques such as HTML Smuggling. This technique is used by threat actors including Nobelium, the hacking group behind the SolarWinds ransomware attack. In one recent case, dubbed ISOMorph, the Menlo Labs research team observed the campaign using the popular Discord messaging app to host malicious payloads.
  • Menlo Labs identified over 27,000 malware attacks which were delivered using HTML Smuggling within the last 90 days
• Evades Malicious Link Analysis: These threats evade malicious link analysis engines traditionally implemented in the email path where links can be analyzed before arriving at the user.
• Evades Offline Categorization and Threat Detection: HEAT attacks evade web categorization by delivering malware from benign websites, either by compromising them, or patiently creating new ones. Referred to as Good2Bad websites. Menlo Labs has been tracking an active threat campaign dubbed SolarMarker, which employs SEO poisoning. The campaign started by compromising a large set of low-popularity websites that had been categorized as benign, infecting these websites with malicious content.
  • Good2Bad websites have increased 137% year-over-year from 2020 to 2021.
  • 44% of Menlo Security customers have accessed a website in the past year that falls in the Good2Bad classification, however Menlo’s patented Elastic Isolation Core™ prevented any infection from taking place.
• Evades HTTP Traffic Inspection: In a HEAT attack, malicious content such as browser exploits, crypto-mining code, phishing kit code and images impersonating known brand’s logos is generated by JavaScript in the browser by its rendering engine, making any detection technique useless.
• The top three brands impersonated in phishing attacks are Microsoft, PayPal, and Amazon. A new phishing website imitating one of these brands is created every 1.7 minutes.

Recommended AI News: Dremio Cloud Now Available for Microsoft Azure

“Highly Evasive Adaptive Threat (HEAT) attacks evade existing security defenses by understanding all the technology integrated into the existing security stack and building delivery mechanisms to evade detection,” said John Grady, ESG Senior Analyst. “Organizations should focus on three key tenets to limit their susceptibility to these types of attacks: shifting from a detection to a prevention mindset, stopping threats before they hit the endpoint, and incorporating advanced anti-phishing and isolation capabilities.”

[To share your insights with us, please write to sghosh@martechseries.com]