Security Scan Report: divetarifahugo-pdab89y73r.edgeone.app

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Submitted: May 20, 2026, 11:46:47 PMCompleted: May 20, 2026, 11:48:08 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is divetarifahugo-pdab89y73r.edgeone.app and was registered NaN years ago.

Submitted URL: https://divetarifahugo-pdab89y73r.edgeone.app/13012-sofia-coppola-becomes-fashion-photographer-sofia-coppola-photographs-fashion-lookbook.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 73%

2
Risk Score

Low risk article page on an unknown‑age subdomain; no malicious activity detected.

Risk Factors
Low Cisco Umbrella ranking (#455,732) for the subdomain
High JavaScript obfuscation score (high entropy, concatenation) – normal for minified code but noted
Safety Factors
No forms collecting credentials or payments
No malicious IoC or YARA detections
No network‑level IDS alerts
Content type is an article/news piece, not a phishing login page
Domain age information unavailable

Details

Page Title

Sofia Coppola Becomes Fashion Photographer-SOFIA COPPOLA PHOTOGRAPHS FASHION LOOKBOOK

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Domain 'divetarifahugo-pdab89y73r.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'divetarifahugo-pdab89y73r'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://divetarifahugo-pdab89y73r.edgeone.app/13012-sofia-coppola-becomes-fashion-photographer-sofia-coppola-photographs-fashion-lookbook.html

Page Load Overview

12.11s
Total Load Time
20
HTTP Requests
13
Domains
103 KB
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-US
Text Length:1,363 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.20.7.223United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2104.21.0.120United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2192.178.183.94United States
AS15169Google LLC
2172.240.108.76United States
AS7979Servers.com, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
208--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18542D92BE380143893714769A8D1B2AD7969C117E743C8FCE6D6B32AC6C73D75A31B48

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KThnYf8zX+XiIxzyi1xJi0ifx1xMJKJxJ/cx8MiPxN+wDYYrWag4MDw:Ahnz+XiIxzyi1xJi0ifx1xnJUdiPxN+U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13045:IQCAzgCoEBYg3IEwFKgVrIQ2goVolAHgmBtVAAVR4QhQghCYJgRGiFmAIIAaiQISwwDSCgEyQEAAALkBQCAGADgixgBRKxoY

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:83838383ffffffff
Perceptual Hash:b93871c3713971c3
Difference Hash:1f2b1f3b00200000
Wavelet Hash:81818181ffffff00
Color Hash:#382dd2

Other Hashes

Crop Resistant:1f2b1f3b00200000

Scan History

Scan history not available

Unable to load historical scan data