Security Scan Report: apple-icloud.azurewebsites.net

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Submitted: Sep 18, 2026, 5:47:27 PMCompleted: Sep 18, 2026, 5:47:55 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 99%

10
Risk Score

Phishing page impersonating Apple on azurewebsites.net, harvesting Apple ID credentials. Confirmed by Safe Browsing and threat-intel. Do not enter credentials.

Risk Factors
Brand impersonation of Apple
Credential harvesting login form
Google Safe Browsing social engineering threat
Multi-source threat-intel phishing report on primary domain
Hosted on abused hosting platform (azurewebsites.net)
Domain age information unavailable

Details

Page Title

Apple

Scan Type

public

Domain Name Analysis

Within the network infrastructure generic top-level domain (.net), 'apple-icloud.azurewebsites.net' is registered with subdomain 'apple-icloud'. The registrable portion 'azurewebsites' spans 13 characters holding six vowels versus 7 consonants. Breaking it apart gives two words: azure, websites. Average segment length settles at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apple-icloud.azurewebsites.net

Page Load Overview

11.06s
Total Load Time
406 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es-MX
Text Length:1,406 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software31% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
31%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
952.173.36.83Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
92.16.238.152Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
92.16.238.14Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
273--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A92B881BBC8493B2233C6DAA0C8755DA2A6D41DD7C59082B5EF47371FD2EAD742F124

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:cQU9y3L3uZnR7MJlPti4wVTZCqwL8/Q+eqRg:PkQUV1wLaQ+eqRg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20111:D3gQaIAG6nrJHDloQlYBAd8ATGCgCAwIjEAAJEAAOzIDoMcIABooICCZLhxgFkALgAZmsnCBQh4wABAyDfTlgnkzkKSiAgK6

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:00ffffffffcfffff
Perceptual Hash:921e6c7c4373754c
Difference Hash:e8e0d458601e0820
Wavelet Hash:00fe766eff8180cc
Color Hash:#8b79d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data