Security Scan Report: att-welcome.netlify.app

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://att-welcome.netlify.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

A page styled as an official AT&T new-customer guide on a free Netlify subdomain, pushing users to a personal 'VIP' phone number and payment/gift-card narrative. Brand impersonation: avoid.

Risk Factors (5)
Impersonation of AT&T's brand on a non-AT&T domain (att-welcome.netlify.app)
Freely creatable hosting-platform subdomain presenting as a major telecom's official customer portal
Directs victims to a third-party phone number rather than official AT&T support
Unranked domain claiming to be a top-10K brand experience
Payment/urgency pressure language about account funding and holds
Domain age information unavailable

Details

Page Title

Welcome to AT&T – New Customer Guide

Scan Type

public

Domain Name Analysis

The domain 'att-welcome.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'att-welcome'. The registrable portion 'netlify' spans 7 characters holding two vowels versus five consonants. Splitting it apart reveals 3 words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

WELCOME; LOVAT Sty Your step-by-step New Customer Guide) vouR JoURKEY @ Preauthorization Hold / Sales Tax Congratulations — you're getting brand new devices for $0/month thanks to the trade-in pro...

Page Load Overview

0.36s
Total Load Time
150 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,228 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
technology software
40%
e-commerce shopping
33%
finance banking
32%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
435.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
74--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FE38D32629612350C0706F8A791133FFA75E84BFC07ACE5B9AF9A498FC4D94C5BA45C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:cclJaGT2I1uU8V2o3wGoE2xTrW2Iu2I1Sl6eP2otcmXids5GAqZH9GbfWwv:3R2IL62ogGF202Iu2IY+NDq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:149782:QFAgC7SJAEDEQxgACQ2AElIBBo9RUdEQoQYECxKDyAIDMAS7GQTqgyiRaGRpCBUEodhABUcIDZCqSABpIgUAiBAwQQIaASHm

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:000000ffffffffff
Perceptual Hash:a92d2d2ecad2d25a
Difference Hash:f7765900080c1810
Wavelet Hash:000000eeeee7efef
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data