Summary
This website contacted 7 IPs in 2 countries across 11 domains to perform 124 HTTP transactions. The main domain is apple.com and was registered NaN years ago.
Submitted URL: https://redeem.services.apple
Effective URL: https://www.apple.com/services/Redirected
The Cisco Umbrella rank of the primary domain is #822,389 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 78%
The site mimics Apple branding on a low‑ranked, unrelated domain without collecting credentials; treat as suspicious but not a confirmed scam.
Risk Factors
Safety Factors
Details
Page Title
Entertainment - Services - Apple
Scan Type
public
Language
English
Category
technology software
(75%)Domain Information
The domain name 'redeem.services.apple' uses the .apple top-level domain, featuring subdomain 'redeem'. The registrable portion 'services' spans 8 characters holding 3 vowels versus 5 consonants. Word splitting yields 1 word: services. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 25 | 193.108.153.158 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 24 | 23.52.180.240 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 24 | 146.75.123.6 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 24 | 17.253.57.196 | Frankfurt am Main, Hesse, Germany | AS6185Apple Inc. |
| 24 | 17.8.136.5 | United States | AS714Apple Inc. |
| 24 | 2.16.168.106 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 24 | 2.16.10.170 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 169 | 7 | - | - |
Detected Technologies2
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data