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Security Scan Report: ondescibihugo-b4sp9drk8o.edgeone.app

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Submitted: May 20, 2026, 6:30:12 AMCompleted: May 20, 2026, 6:31:47 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 14 HTTP transactions. The main domain is ondescibihugo-b4sp9drk8o.edgeone.app and was registered NaN years ago.

Submitted URL: https://ondescibihugo-b4sp9drk8o.edgeone.app/21117-shiloh-jolie-pitts-red-carpet-makeover-from-tomboy-chic-to-glam-goddess-angelinas-mini-me-da.html

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site shows a brand name on a low‑rank, newly created subdomain with heavily obfuscated JavaScript but no phishing forms; treat as moderate risk.

Risk Factors
Brand‑domain mismatch
Low domain reputation
Unknown subdomain age
High JS obfuscation
Safety Factors
No forms or credential collection
No malicious Indicators of Compromise
No YARA malware matches
No IDS alerts
Page marked as an article (og:type=article) indicating news content
Domain age information unavailable

Details

Page Title

Shiloh Jolie-Pitts red carpet makeover: from tomboy chic to glam goddess, Angelinas mini-me da

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

You're looking at domain 'ondescibihugo-b4sp9drk8o.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'ondescibihugo-b4sp9drk8o'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. It segments into 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ondescibihugo-b4sp9drk8o.edgeone.app/21117-shiloh-jolie-pitts-red-carpet-makeover-from-tomboy-chic-to-glam-goddess-angelinas-mini-me-da.html

Page Load Overview

11.85s
Total Load Time
20
HTTP Requests
12
Domains
25 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:3,634 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
843.152.26.58Singapore
AS139341ACE
2142.251.110.94United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.253.132United States
AS7979Servers.com, Inc.
2142.251.13.95United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
207--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC62D723EAC1213C37A246D978C5F2BC7A9E847AE3138CD0A695D72B97C16D3442378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2GShnYf8zX+Q85qJKJgJ/c76LKsPWiGQYYrWag4MDw:FShnz+Q85IJUEKsPWiGrYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15342:Zr4INmESoTDJw1AQyIBQlBXNKBABZCAo5LAghaiBVWQDxBCA1ATEDAQSCJiQIgRJ6RiwnmzChYx+MGyChUJhgMdJIAABoDAr

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:00000020002000ff
Perceptual Hash:c343bc4793129e3d
Difference Hash:f0c0c0c8c0c00032
Wavelet Hash:3c3c3c3c3c3c00ff
Color Hash:#93571f

Other Hashes

Crop Resistant:0000000000000000,f0c0e4c4c0c0c413

Scan History

Scan history not available

Unable to load historical scan data