Summary
This website contacted 65 IPs in 3 countries across 20 domains to perform 424 HTTP transactions. The main domain is doz1futtg6626.cloudfront.net and was registered NaN years ago.
Submitted URL: https://doz1futtg6626.cloudfront.net/sports/womens-soccer/roster
AI Security Verdict
High Risk
Confidence: 92%
Impersonates Stanford athletics on a cloud storage domain; high‑risk phishing site.
Risk Factors
Details
Page Title
Women's Soccer 2025 - Stanford Cardinal - Official Athletics Website
Scan Type
public
Language
English
Category
adult content
(36%)Domain Information
Domain 'doz1futtg6626.cloudfront.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'doz1futtg6626'. The second-level label 'cloudfront' is 10 characters long holding three vowels versus 7 consonants. It segments into two words: cloud, front. The median word length lands at five 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 |
|---|---|---|---|
| 40 | 172.217.18.3 | United States | AS15169GOOGLE |
| 6 | 142.250.185.219 | United States | AS15169GOOGLE |
| 6 | 3.161.75.26 | United States | AS16509AMAZON-02 |
| 6 | 34.111.146.217 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 162.159.140.229 | United States | AS13335CLOUDFLARENET |
| 6 | 104.154.102.9 | Council Bluffs, Iowa, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 104.26.13.204 | United States | AS13335CLOUDFLARENET |
| 6 | 203.57.82.97 | London, England, United Kingdom | AS137409GSL Networks Pty LTD |
| 6 | 3.161.75.76 | United States | AS16509AMAZON-02 |
| 6 | 157.240.0.174 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 424 | 65 | - | - |
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
Scan history not available
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