Summary
This website contacted 7 IPs in 1 country across 7 domains to perform 37 HTTP transactions. The main domain is fortmill.follettdestiny.com and was registered NaN years ago.
Submitted URL: https://fortmill.follettdestiny.com
Effective URL: https://fortmill.follettdestiny.com/portal/portal?appId=destiny-6SBW-GC7SRedirected
The Cisco Umbrella rank of the primary domain is #24,472 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The site shows no malicious indicators, has a long‑standing domain, and contains no credential or payment forms – it appears legitimate.
Safety Factors
Details
Page Title
Follett Destiny
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
You're looking at domain 'fortmill.follettdestiny.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'fortmill'. The second-level label 'follettdestiny' is 14 characters long split between 4 vowels and ten consonants. Word splitting yields 2 words: follett, destiny. Average segment length settles at seven 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 |
|---|---|---|---|
| 7 | 20.15.50.151 | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 4 | 142.251.208.163 | United States | |
| 4 | 34.36.213.229 | Kansas City, Missouri, United States | AS396982Google LLC |
| 4 | 142.251.141.104 | United States | Unknown |
| 4 | 20.82.22.191 | United States | Unknown |
| 4 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 4 | 52.177.91.164 | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 31 | 7 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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