Security Scan Report: wymoorgroupsitus-dpc3g2hkpvei.edgeone.app

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Submitted: Jun 21, 2026, 1:02:08 AMCompleted: Jun 21, 2026, 1:03:17 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is wymoorgroupsitus-dpc3g2hkpvei.edgeone.app and was registered NaN years ago.

Submitted URL: https://wymoorgroupsitus-dpc3g2hkpvei.edgeone.app/aditya-roy-kapur-biography-history-age-weight-height-relationships.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Page shows no credential collection or brand impersonation; only weak signals like unknown sub‑domain age and high JS obfuscation keep it at low risk.

Risk Factors
Critical JavaScript obfuscation score (high entropy, base64)
Low Cisco Umbrella ranking (455,732)
Sub‑domain creation date unknown (potentially brand‑new)
Safety Factors
No forms collecting credentials or payment data
Page type is article (og:type=article) – content appears informational
No network‑level IDS alerts or malicious external links
No known malicious kits or YARA detections
Domain age information unavailable

Details

Page Title

Aditya Roy Kapur Biography, History, Age, Weight, Height, Relationships

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(63%)

Domain Information

The domain 'wymoorgroupsitus-dpc3g2hkpvei.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'wymoorgroupsitus-dpc3g2hkpvei'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests two 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://wymoorgroupsitus-dpc3g2hkpvei.edgeone.app/aditya-roy-kapur-biography-history-age-weight-height-relationships.html

Page Load Overview

1.81s
Total Load Time
13
HTTP Requests
10
Domains
31 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:3,653 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
63%
blog personal website
59%
entertainment media
57%
news media journalism
50%
finance banking
49%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
135--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18D620C77BA506138BA1202ABB481B6FC7F39C416D752CCB475DCE32C5B86AC3A579B40

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMThnYf8zX+x3Ik+gi4Kl2ti6FrWag4MVjA:3QThnz+x3Ti5QrWag4WM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15628:B6OsiACApYEkgYIE4DAAmgKKRAQRgSQUDoGaVUEA1IQwiyAYRQEbxNZgooBokjACDEJYAY8QaAxGWbAgEGsKSaIFG4AhEbEE

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:00c3e7ffc7c3c3c3
Perceptual Hash:f547384c4c8e7636
Difference Hash:280e0e0006161616
Wavelet Hash:00c2e6fee6c3c3c3
Color Hash:#a4bf40

Other Hashes

Crop Resistant:280e0e0006161616

Scan History

Scan history not available

Unable to load historical scan data