Security Scan Report: att-welcome.netlify.app

Site favicon
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: 88%

8
Risk Score

Impersonates AT&T with an official-looking 'welcome guide' on a free netlify.app subdomain, steering new-customer victims to a personal phone line and off-site bill/gift-card submissions. No forms, but classic brand-impersonation fraud.

Risk Factors (6)
Impersonation of AT&T (official styling, AT&T logo text, 'att.com/getstarted' reference) on a non-AT&T host
Deceptive hostname att-welcome.netlify.app mimicking an official AT&T welcome resource
Unranked domain (not in Cisco Umbrella top 1M) while claiming to be a major telecom brand
Directs users to a personal phone number rather than AT&T's published support channels
Solicits off-channel submission of carrier bills and gift-card claims
Unknown-age free hosting subdomain used to host brand-lookalike content
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; it also runs on subdomain 'att-welcome'. The core label 'netlify' covers 7 characters split between 2 vowels and 5 consonants. Segmentation suggests three words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://att-welcome.netlify.app/

Page Load Overview

0.37s
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
463.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
135.157.26.135Aws · 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:#931f3c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data