Security Scan Report: edge-072.ussjc1.icloud-content.com

Submitted: Jan 5, 2026, 11:25:09 AMCompleted: Jan 5, 2026, 11:31:36 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is edge-072.ussjc1.icloud-content.com.

Submitted URL: https://edge-072.ussjc1.icloud-content.com

The Cisco Umbrella rank of the primary domain is #393 of the top 1 million websitesTop 1K Site

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

edge-072.ussjc1.icloud-content.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(75%)

Domain Information

The domain 'edge-072.ussjc1.icloud-content.com' uses the commercial generic top-level domain (.com), featuring subdomain 'edge-072.ussjc1'. The core label 'icloud-content' covers 14 characters holding five vowels versus eight consonants, notching one hyphen. Segmentation suggests 3 words: i, cloud, content. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://edge-072.ussjc1.icloud-content.com

Page Load Overview

41.66s
Total Load Time
1
HTTP Requests
1
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:208 chars
Detector Agreement:67%

Website Classification

Primary Category

cryptocurrency blockchain75% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
75%
technology software
67%
government public service
58%
healthcare medical
58%
news media journalism
57%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
117.248.245.20San Jose, California, United States
AS714APPLE-ENGINEERING
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C6047E77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:afQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszz2bMy8Old1:hhoC9JSqzzbs6o3Sj3gcrsX2eAP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184569:SgghVEgGEkgDBFwEEbDAlbEwQBZRWQooYhjaggAOtRCBBQQEABktBUUU3QACrgbAxBiVkgRwCbCQAqTAjAQQRwnwgABgpSPj

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:ffc7c7d3f3ffffff
Perceptual Hash:b1319acccc6d3333
Difference Hash:001c1c1606000000
Wavelet Hash:3f1f07030f0f0f0f
Color Hash:#bf87c5

Other Hashes

Crop Resistant:001c1c1606000000

Scan History

Scan history not available

Unable to load historical scan data