Security Scan Report: reactivate-device-au.web.app

Redirected to:
https://www.apple.com/uk/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 4 domains to perform 98 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://reactivate-device-au.web.app/

Effective URL:
https://www.apple.com/uk/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 88%

5
Risk Score

This disposable or newly registered address only forwards visitors to a well-known site, a common way to hide a scam from security scanners — rated moderate risk on that basis.

Safety Factors (2)
Final rendered page is www.apple.com, the brand owner's own established domain
Apple meta tags match the destination domain (self-branding, not impersonation)
Domain age information unavailable

Details

Page Title

Wallet

Scan Type

public

Domain Name Analysis

You're looking at domain 'reactivate-device-au.web.app' on the application-focused generic top-level domain (.app), featuring subdomain 'reactivate-device-au'. Its registrable label 'web' stretches across 3 characters holding one vowel versus two consonants. Breaking it apart gives 1 word: web. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://reactivate-device-au.web.app/

Page Load Overview

1.26s
Total Load Time
4.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:17 chars
Detector Agreement:0%

Website Classification

Primary Category

entertainment media56% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
56%
e-commerce shopping
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1023.36.157.47Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1017.8.130.172United States
AS714Apple Inc.
1023.37.193.47Akamai · CDNBerlin, State of Berlin, Germany
AS16625Akamai Technologies, Inc.
1017.8.130.57United States
AS714Apple Inc.
1017.253.57.200Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
1017.253.57.210Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
1017.253.57.204Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
1017.253.57.198Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
989--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C51A68E2C55C1586C7A2F4D14D4F9148784FE3B59388CEEB3AB1518C792FA01A1640F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:bbbcoloOUoToQoGp6fl3MAV3pS2DGffF/JLoj:XP/p6fl3MA3pS2D0/JLoj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2811:bsDARAAxAAAAkQBBCSAAEQQAEAEABAFBAAACAkAgAKEAJCAAADIADgQABAAAAAAQAAEEBAIAAJwBoIEBgAACACIBABBBACII

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:00000000081838ff
Perceptual Hash:8a32e61bb3669c33
Difference Hash:4d3331f17931610c
Wavelet Hash:ff1918100c1c3dff
Color Hash:#88931f

Scan History

Scan history not available

Unable to load historical scan data