Security Scan Report: intro-byu.pages.dev

Submitted: Mar 8, 2026, 2:20:54 PMCompleted: Mar 8, 2026, 2:22:07 PMpubliccompleted
Loading additional data...

Summary

This website contacted 17 IPs in 3 countries across 12 domains to perform 51 HTTP transactions. The main domain is intro-byu.pages.dev and was registered NaN years ago.

Submitted URL: https://intro-byu.pages.dev/awards/best-mobile/?

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Informational awards page on a free‑hosting subdomain; no malicious activity detected.

Safety Factors
No credential or payment collection forms
No malicious JavaScript or YARA detections
No network IDS alerts
Content appears to be a legitimate informational awards listing
Domain age information unavailable

Details

Page Title

Best Mobile Network Speedtest Awards – 2025

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(60%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'intro-byu.pages.dev' is registered; it also runs on subdomain 'intro-byu'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Segmentation suggests 1 word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://intro-byu.pages.dev/awards/best-mobile/?

Page Load Overview

4.75s
Total Load Time
51
HTTP Requests
12
Domains
1.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:12,807 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical60% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
60%
technology software
39%
education learning
26%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33.232.14.85Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
354.73.201.190Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
3172.66.44.110United States
AS13335Cloudflare, Inc.
3172.64.155.119United States
AS13335Cloudflare, Inc.
3216.239.32.36United States
AS15169Google LLC
318.244.18.27United States
AS16509Amazon.com, Inc.
318.203.122.74Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
3146.75.122.219Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
334.203.187.209Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
3172.66.47.146United States
AS13335Cloudflare, Inc.
5117--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCB4AF3001EB5ABF521F87C9EB29F225EBD1409ED4802EB1EEFC9FE94586C91F651049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:3JT02ETAgZvkZUxF8m2uTXenV4JyjJwja+a0jcDZC0czbrTS62niODCNRbGchOmF:3V07AgZEUXBXzjjpa0U14ban8RbGlu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500011:AIccXgiIQAhhBREAcRQACU/ycuAAjMMKEkVARsISDqpjABIGMkqQMQNEBiCJwhPhFSBKBnjUSBwkObQAEAGQwkoaBOJoMtQU

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

Average Hash:007179797d7d657d
Perceptual Hash:aa6773571c331866
Difference Hash:ddc1d1d1a1d1c9e1
Wavelet Hash:007179717d5d417d
Color Hash:#e0776c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data