Security Scan Report: edge-272.usuyk1.ce.apple-dns.net

Submitted: May 13, 2026, 5:15:14 AMCompleted: May 13, 2026, 5:18:02 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is edge-272.usuyk1.ce.apple-dns.net and was registered NaN years ago.

Submitted URL: https://edge-272.usuyk1.ce.apple-dns.net

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

edge-272.usuyk1.ce.apple-dns.net

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(50%)

Domain Information

Domain 'edge-272.usuyk1.ce.apple-dns.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'edge-272.usuyk1.ce'. The second-level label 'apple-dns' is 9 characters long with 2 vowels and six consonants; bonus characters include 1 hyphen. It segments into 2 words: apple, dns. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://edge-272.usuyk1.ce.apple-dns.net

Page Load Overview

N/A
Total Load Time
3
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:192 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software50% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
50%
adult content
49%
news media journalism
47%
cryptocurrency blockchain
46%
healthcare medical
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
317.248.240.9Secaucus, New Jersey, United States
AS714Apple Inc.
01--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182048E77329A063D86558498E05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPc2bMy8Old1:6hoC9JSqzzbs6okSjggcpsk2eAT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185321:GOAJoERBFQkMTEGEwJ1XXEBYgSyAAAnALQwREFusYJClOkJiBgiJgACCZUI6gwEwIrSQGjBYBDFAItSNgqISGBnMDIExrrwB

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:ffcfc7f3ffffffff
Perceptual Hash:b1319acecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:f0d0c4f00f0f0f0f
Color Hash:#a12dd2

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data