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Security Scan Report: hayleybanabelle.pages.dev

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Submitted: Dec 14, 2025, 1:17:39 AMCompleted: Dec 14, 2025, 1:18:14 AMpubliccompleted
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Summary

This website contacted 59 IPs in 4 countries across 15 domains to perform 34 HTTP transactions. The main domain is hayleybanabelle.pages.dev and was registered NaN years ago.

Submitted URL: https://hayleybanabelle.pages.dev/bfaxwuy-att-cell-map-coverage-photos-yiufymp/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Site impersonates AT&T on an unrelated domain, posing a high phishing risk.

Risk Factors
Brand impersonation/typosquatting on an unranked domain
Use of a well‑known brand name (AT&T) without legitimate affiliation
Domain age information unavailable

Details

Page Title

At&T Cell Map Coverage - Hayley Rosalinda

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(89%)

Domain Information

Domain 'hayleybanabelle.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'hayleybanabelle'. The core label 'pages' covers 5 characters with 2 vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hayleybanabelle.pages.dev/bfaxwuy-att-cell-map-coverage-photos-yiufymp/

Page Load Overview

11.64s
Total Load Time
34
HTTP Requests
15
Domains
920 KB
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:2,807 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
89%
government public service
83%
technology software
71%
education learning
54%
cryptocurrency blockchain
47%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3413.226.244.109United States
AS16509AMAZON-02
0142.250.186.138United States
AS15169GOOGLE
0104.26.13.197United States
AS13335CLOUDFLARENET
0172.64.153.109United States
AS13335CLOUDFLARENET
023.45.97.187Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
0188.114.96.3United States
AS13335CLOUDFLARENET
0172.240.127.242United States
AS7979SERVERS-COM
0104.18.131.104United States
AS13335CLOUDFLARENET
084.53.164.189Netherlands
AS16625AKAMAI-AS
0104.21.95.224United States
AS13335CLOUDFLARENET
3459--

Detected Technologies9

WordPressv6.5.4
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Webflow
45%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Drupal
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1202309B180950837360BA3FCE264B71DAAF6A619CA069F1433FDF25A8F85DF70563119

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:NZdapFqTlZ7M9Sjwn1mjPjcjy6ccaeHJ8xq:FapITl1M9SjwnsjPjcjrccaeHJ8xq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46643:xqhiiANYAlmVEBANAcQBKBgoYQgMagMBIHBIi1ZnCKIjGYkm+ADgGiDFEIUUHAFoIJDRVAXUJogR9RAHsCDyKiE4OgLIQwAg

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:e5db8f83db83cb8b
Perceptual Hash:b9c273c334633cc3
Difference Hash:09133b3a332b1b32
Wavelet Hash:e5c18383fb838b8b
Color Hash:#79d2a0

Other Hashes

Crop Resistant:09133b3a332b1b32

Scan History

Scan history not available

Unable to load historical scan data