SlashNext today announced Zero-Trust Stealth Mode Browsers. Utilizing the company's messaging security platform, the solution is designed to see through obfuscation techniques commonly used by threat actors and deliver enhanced protection against phishing and malware for all customers.
No technology is free of unintended consequences. In recent years, well-intentioned companies offering free services such as CAPTCHA solutions and content delivery networks have inadvertently become tools that aid threat actors. For example, Cloudflare's Turnstile Services and similar CAPTCHA solutions, which are designed to improve user experience and verify human interactions, are commonly exploited as obfuscation techniques. CAPTCHAs are used to block crawlers employed by security services from accessing and analyzing phishing sites.
"Over 60% of malicious URLs delivered via email are protected by CAPTCHA, which is why we developed this unique technology to detect these threats before they compromise users," said Patrick Harr, CEO, SlashNext. "Our patented Zero-Trust Stealth Mode Browsers behave exactly like a human user, interacting with CAPTCHAs to access phishing and other malicious content hidden behind these barriers for AI analysis. As a result, we uniquely detect and block these threats that others routinely miss."
With Zero-Trust Stealth Mode Browsers, SlashNext can bypass obfuscation techniques employed by CAPTCHA services from Cloudflare, Google, and others. Additionally, these browsers uncover advanced threats hosted on trusted services like SharePoint, Google, Microsoft, and Adobe, constituting 50% of the threats SlashNext detects daily.
Leveraging SlashNext's proactive AI, SlashNext detonates over 200 million URLs per day from various sources, such as newly registered domains, spam traps, ad networks, and customers. By applying techniques like computer vision, NLP, DOM inspection, and nested link analysis, SlashNext preemptively detects over 800,000 new URL threats daily. This combined approach enables SlashNext to identify 99.99% of URL-based threats with near-zero false positives.
