Menlo Security has announced that it has identified a surge in Highly Evasive Adaptive Threats (HEAT) that bypass traditional security measures. 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.
In an analysis of almost 500,000 malicious domains, The Menlo Security Labs research team discovered that 69 percent 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 percent increase in HEAT attacks.
“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 percent 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.”
HEAT attacks leverage one or more of the following core techniques that bypass legacy network security defences:
- Evades both static and dynamic content inspection: HEAT attacks evade both signature and behavioural 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 analysed before arriving at the user.
- Evades offline categorisation and threat detection: HEAT attacks evade web categorisation 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 categorised as benign, infecting these websites with malicious content. Good2Bad websites have increased 137 per cent year-over-year from 2020 to 2021.
“Highly Evasive Adaptive Threat (HEAT) attacks evade existing security defences 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.”