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

Fake AT&T 'new customer guide' on a netlify.app subdomain using AT&T branding, payment-hold pressure and a non-AT&T VIP phone number to lure victims into calling and paying.

Risk Factors (6)
Brand impersonation of AT&T on a non-official domain
Hosted on a free/shared platform subdomain (netlify.app) with unknown creation date
Unverified 'VIP support' phone number used as the contact/collection channel
Urgency and payment-pressure language around holds, sales tax and deadlines
Gift card and bill-payoff lures requesting the victim's prior carrier bill
Host not present in Cisco Umbrella top 1M
Domain age information unavailable

Details

Page Title

Welcome to AT&T – New Customer Guide

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'att-welcome.netlify.app' is registered and includes subdomain 'att-welcome'. Its registrable label 'netlify' stretches across 7 characters split between two vowels and 5 consonants. Breaking it apart gives 3 words: net, li, fy. Expect two characters per word on average. 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

0.51s
Total Load Time
149 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
463.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
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