Summary
This website contacted 1 IP in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is amarok.login.duosecurity.com and was registered NaN years ago.
Submitted URL: https://sso-4886e4fc.sso.duosecurity.com
Effective URL: https://amarok.login.duosecurity.com/central/Redirected
The Cisco Umbrella rank of the primary domain is #1,195 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 94%
The site is a legitimate Duo Security SSO page with no malicious indicators.
Safety Factors
Details
Page Title
Duo Central
Scan Type
public
Language
English
Category
technology software
(55%)Domain Information
The domain 'sso-4886e4fc.sso.duosecurity.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'sso-4886e4fc.sso'. Its registrable label 'duosecurity' stretches across 11 characters containing 5 vowels alongside 6 consonants. Word splitting yields two words: duo, security. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 9 | 52.223.25.169 | United States | AS16509Amazon.com, Inc. |
| 9 | 1 | - | - |
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data