Security Scan Report: springsghugo-7hl46a1me6.edgeone.app

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Submitted: May 18, 2026, 4:44:34 PMCompleted: May 18, 2026, 4:45:53 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 15 HTTP transactions. The main domain is springsghugo-7hl46a1me6.edgeone.app and was registered NaN years ago.

Submitted URL: https://springsghugo-7hl46a1me6.edgeone.app/12695-miley-cyrus-dresses-up-as-lil-kim-parties-with-paris-hilton.html

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

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Low risk site; likely a legitimate entertainment article despite unknown subdomain age and low ranking.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation score (potentially suspicious code style)
Safety Factors
Page marked as og:type=article – content reporting, not impersonation
Absence of forms or credential collection
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Miley Cyrus Dresses Up as Lil' Kim, Parties with Paris Hilton!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(53%)

Domain Information

Within the application-focused generic top-level domain (.app), 'springsghugo-7hl46a1me6.edgeone.app' is registered with subdomain 'springsghugo-7hl46a1me6'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside 3 consonants. Breaking it apart gives 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://springsghugo-7hl46a1me6.edgeone.app/12695-miley-cyrus-dresses-up-as-lil-kim-parties-with-paris-hilton.html

Page Load Overview

12.17s
Total Load Time
19
HTTP Requests
12
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:1,574 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
53%
social media network
50%
government public service
43%
news media journalism
42%
blog personal website
40%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5101.33.10.10Frankfurt am Main, Hesse, Germany
2172.240.108.84United States
AS7979Servers.com, Inc.
2142.250.154.94United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2192.178.170.95United States
AS15169Google LLC
2188.114.97.3United States
AS13335Cloudflare, Inc.
198--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E242B533F582203C6BA242CAF5C0F77D7D6DC21BE3A68DE0E0B5A3598BC5AD74891644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:PI6c5IZ3VomvPYf85ZEQV+fiaDJKJT+d8XPdYMXxLPYYrWag4ofCvydAXq2:3hnYf8zX+fNJKJT+d8FYwDYYrWag4MDW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12267:IQKDEwICGtAkE4AgBRJNZysHCSgEajECUQtAAlpMwmUB0EyQVxYNEFBAQJc1IGPQc0VQGAKZAkAAAjeEBgWwSSAgAR4Ag84C

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:78007e3c00000018
Perceptual Hash:cd67cc66cc268c36
Difference Hash:e0c2c8d016300cb2
Wavelet Hash:ff787eff0000143c
Color Hash:#53acac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data