Security Scan Report: wylmaynadeen.pages.dev

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Submitted: Dec 21, 2025, 12:46:12 AMCompleted: Dec 21, 2025, 12:46:38 AMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 15 domains to perform 40 HTTP transactions. The main domain is wylmaynadeen.pages.dev and was registered NaN years ago.

Submitted URL: https://wylmaynadeen.pages.dev/tmwhgdc-att-lte-coverage-map-photos-snbsclk/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Site impersonates AT&T on an unrelated domain; high‑risk phishing.

Risk Factors
Brand impersonation of AT&T on a non‑official domain
Unranked domain with major brand name
Use of pages.dev subdomain (unusual for AT&T services)
Mismatched brand spelling ("At&T") indicating possible typo‑squatting
Domain age information unavailable

Details

Page Title

At&T Lte Coverage Map - Iona Lissie

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(69%)

Domain Information

Domain 'wylmaynadeen.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'wylmaynadeen'. Count 5 characters in 'pages' holding 2 vowels versus 3 consonants. Splitting it apart reveals one word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wylmaynadeen.pages.dev/tmwhgdc-att-lte-coverage-map-photos-snbsclk/

Page Load Overview

2.70s
Total Load Time
40
HTTP Requests
15
Domains
2.3 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-US
Text Length:2,413 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical69% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
69%
download file sharing
63%
government public service
57%
technology software
53%
news media journalism
42%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.20.23.96United States
AS13335CLOUDFLARENET
2142.251.38.67United States
AS15169GOOGLE
2216.58.209.170United States
AS15169GOOGLE
2172.67.171.126United States
AS13335CLOUDFLARENET
2172.66.47.46United States
AS13335CLOUDFLARENET
22.16.30.246Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2172.64.153.109United States
AS13335CLOUDFLARENET
2172.240.108.84United States
AS7979SERVERS-COM
223.36.234.49Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2199.232.174.154Stockholm, Stockholm County, Sweden
AS54113FASTLY
4017--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1970319B294994837750B53DCF155B32CE6F2E618CA02AF6472FCA2688F95DF7016321E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:/cqXjEZdapiuT9ZU/qiB0SjFRbR8zeqJ65mex:VQapNT92/DuSjF/8zeqJ65mex

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41313:VBFAAKTA0KiEUmATAggoELA51JsCfACeUOCMgNUgRARa1BQw1MMCKu6SaQWlhIigICJoRSqzSYkSEAJIgCEDCSXAJkYQUCBg

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:ffff000000000001
Perceptual Hash:aad5d5d5d5a4c40a
Difference Hash:001d050579710505
Wavelet Hash:ffff0101390101ff
Color Hash:#4060bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data