Security Scan Report: edge-096.usdal2.ce.apple-dns.net

Submitted: May 13, 2026, 6:05:05 AMCompleted: May 13, 2026, 6:07:57 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is edge-096.usdal2.ce.apple-dns.net and was registered NaN years ago.

Submitted URL: https://edge-096.usdal2.ce.apple-dns.net

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

edge-096.usdal2.ce.apple-dns.net

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(50%)

Domain Information

You're looking at domain 'edge-096.usdal2.ce.apple-dns.net' on the network infrastructure generic top-level domain (.net); it also runs on subdomain 'edge-096.usdal2.ce'. Count 9 characters in 'apple-dns' holding two vowels versus 6 consonants; it also includes one hyphen. It segments into two words: apple, dns. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://edge-096.usdal2.ce.apple-dns.net

Page Load Overview

N/A
Total Load Time
4
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:100%

Website Classification

Primary Category

adult content50% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
50%
news media journalism
47%
cryptocurrency blockchain
45%
technology software
44%
healthcare medical
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
417.248.241.243Dallas, Texas, 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

T120048F77329A063D86558498E05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:m/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPa2bMy8OldQ:HhoC9JSqzzbs6okSjggcpsi2eAu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185321:AbgupAQASGYU8cEFQZRPHUBcZzAGKEkQLS0RwE+wMIQIYAYELgiFgREDAGAagZIgCawYiLDxAAJyCEwIBYBMKOLDH4Ionn4B

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:f0d0c4f0f0f0f0f0
Color Hash:#ca6ce0

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

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