Security Scan Report: swanthithugo-g51zs9xhez.edgeone.app

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Submitted: May 20, 2026, 5:40:24 AMCompleted: May 20, 2026, 5:43:08 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 14 HTTP transactions. The main domain is swanthithugo-g51zs9xhez.edgeone.app and was registered NaN years ago.

Submitted URL: https://swanthithugo-g51zs9xhez.edgeone.app/23156-kailyn-lowry-revealed-the-insane-amount-she-makes-for-feet-pics-on-onlyfans.html

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The page is a low‑quality article about a brand; moderate risk due to unknown subdomain age and brand mention, but no malicious activity detected.

Risk Factors
Brand mention with domain mismatch
Unknown subdomain age on hosting platform
Low domain reputation ranking
High JS obfuscation (potentially hidden code)
Click‑bait article content
Safety Factors
No forms collecting credentials or payments
No Indicators of Compromise detected
No malicious JavaScript YARA matches
No network IDS alerts
Page type is an article (og:type=article), not an impersonation page
Domain age information unavailable

Details

Page Title

Kailyn Lowry Revealed the Insane Amount She Makes for Feet Pics on OnlyFans

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(55%)

Domain Information

Domain 'swanthithugo-g51zs9xhez.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'swanthithugo-g51zs9xhez'. The second-level label 'edgeone' is 7 characters long with four vowels and three 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://swanthithugo-g51zs9xhez.edgeone.app/23156-kailyn-lowry-revealed-the-insane-amount-she-makes-for-feet-pics-on-onlyfans.html

Page Load Overview

42.16s
Total Load Time
22
HTTP Requests
14
Domains
42 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:3,567 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
55%
finance banking
47%
entertainment media
46%
corporate
35%
adult content
32%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2142.251.14.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2142.251.20.94United States
AS15169Google LLC
2172.240.127.234United States
AS7979Servers.com, Inc.
2172.67.74.163United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
229--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D672E937FB44132C53234162F895F3FC7DA8C022E35249B86599737E83C6ADB59A6688

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tPWiyhnYf8zX+k9sub98g9zV9iJKJ2J/cQ8t3rW83XPzeStDmUHSYYrWag4MDw:VWThnz+ZBJULxXqStDFYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16056:QAAIjDkAQVoCBnbBoIDIRVBCAVsQqpQRgJ4EEEIDMTDMgXSMZCAIGZg8Gi9gBItf5ABEDE1BEIQCUNhiKIKkBQyqgkSI0YqA

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:ffffc18181c1ffff
Perceptual Hash:ed92966d69926469
Difference Hash:0c23233b23233c02
Wavelet Hash:ffc381818181c3ff
Color Hash:#783a42

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data