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Security Scan Report: edenjcoppleson.pages.dev

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Submitted: Dec 20, 2025, 9:08:49 PMCompleted: Dec 20, 2025, 9:09:12 PMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 17 domains to perform 47 HTTP transactions. The main domain is edenjcoppleson.pages.dev and was registered NaN years ago.

Submitted URL: https://edenjcoppleson.pages.dev/tgvsi-att-shareholder-meeting-2025-kwtrb/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

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

Risk Factors
Brand impersonation/typosquatting of AT&T on an unrelated domain
Use of a well‑known brand name on a low‑reputation, unranked domain
Domain age information unavailable

Details

Page Title

At&T Shareholder Meeting 2025 - Eden J. Coppleson

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'edenjcoppleson.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'edenjcoppleson'. Its registrable label 'pages' stretches across 5 characters with two vowels and 3 consonants. It segments into one word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://edenjcoppleson.pages.dev/tgvsi-att-shareholder-meeting-2025-kwtrb/

Page Load Overview

7.08s
Total Load Time
47
HTTP Requests
17
Domains
4.8 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:4,526 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
news/blog
60%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.67.212.207United States
AS13335CLOUDFLARENET
2142.251.141.118United States
AS15169GOOGLE
265.8.131.119United States
AS16509AMAZON-02
2142.250.185.214United States
AS15169GOOGLE
223.52.181.156Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2104.20.23.96United States
AS13335CLOUDFLARENET
2172.66.169.241United States
AS13335CLOUDFLARENET
2172.66.44.56United States
AS13335CLOUDFLARENET
2142.251.141.67United States
AS15169GOOGLE
223.185.0.4United States
AS54113FASTLY
4720--

Detected Technologies8

WordPressv6.4.3
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
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

T160632BBA909511274D1B97E5D3CC2A1CE9389A13CE024D59B1BD12196FC2EF613A733F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:EMVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIJapHTJr9vsXS13pZ9fXlZoghn2qoug1:fFT1f0unJtjXtM7MBSVdn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:71953:GZFDAhPFMBOYiDAYLF8DABTAFAoN5DCSERsERlAACYbQFYAkcRABaFURhgAqkE2wgIPFNEQUhAOmD5QkjUAmMBFhMzC+BAA4

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:ffffffff87878787
Perceptual Hash:b6c9c634c167c93a
Difference Hash:0cc1331e1f3f2d2f
Wavelet Hash:e7ff898383838383
Color Hash:#a679d2

Other Hashes

Crop Resistant:0cc1331e1f3f2d2f,70c6e0c080c0c0a0,96162e66b2ab1a42

Scan History

Scan history not available

Unable to load historical scan data