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

Redirected to:
https://www.apple.com/uk/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 103 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: 72%

5
Risk Score

Look-alike 'Apple device reactivation' host on Firebase redirects to apple.com; a single-source phishing report and Apple-branded metadata from a non-Apple origin keep this at high risk despite no credential form.

Risk Factors (4)
Deceptive hostname imitating an Apple device-reactivation flow on a free hosting platform (subdomain creation date unknown)
Single-source phishing threat-intel record on the entry domain
Brand metadata for Apple emitted from an origin that is not apple.com
Bot-protection/cloaking content mismatch between datacenter and residential clients
Safety Factors (6)
Final destination is www.apple.com (rank #457 in Cisco Umbrella top 1M), the brand's own established domain — the brand question is settled by the redirect landing
Verified form facts: 0 password fields, 0 disguised-password fields, 0 payment fields — no credential or payment harvesting observed
No JavaScript hunting rule malware matches, no native-hunting rule high-precision hits, no known kit-roster entries
No network IDS/Suricata alerts and no cross-origin credential exfiltration; all scripts served same-origin
No base64-encoded email lure in the URL
No concrete malicious signal: the threat-feed matches name third-party or shared hosts, or rest on a single feed or a reputation label, so they were not counted; no hunting rule / Safe-Browsing / IDS / credential form / brand impersonation either. Elevated risk rested on domain age or reputation alone; clamped from 7 to 5
Domain age information unavailable

Details

Page Title

Wallet

Scan Type

public

Domain Name Analysis

The domain name 'reactivate-device-au.web.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'reactivate-device-au'. Count 3 characters in 'web' with one vowel and 2 consonants. Segmentation suggests 1 word: web. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.43s
Total Load Time
5.9 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 media85% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
85%
finance banking
60%
documentation technical
36%
technology software
29%
e-commerce shopping
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1423.36.157.47Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1417.8.130.57United States
AS714Apple Inc.
1417.253.254.9Frankfurt am Main, Hesse, Germany
AS714Apple Inc.
1417.253.254.7Frankfurt am Main, Hesse, Germany
AS714Apple Inc.
1417.253.254.6Frankfurt am Main, Hesse, Germany
AS714Apple Inc.
1417.253.254.8Frankfurt am Main, Hesse, Germany
AS714Apple Inc.
1037--

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:0058f97941c3e3ff
Perceptual Hash:e90d16321f2be2e9
Difference Hash:6d9393b39397974d
Wavelet Hash:0018f97961c3c3ff
Color Hash:03400038000

Scan History

Scan history not available

Unable to load historical scan data