Security Scan Report: basiljayhugo-pc6ufai3a7.edgeone.app

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Submitted: May 20, 2026, 5:03:08 AMCompleted: May 20, 2026, 5:04:58 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 13 HTTP transactions. The main domain is basiljayhugo-pc6ufai3a7.edgeone.app and was registered NaN years ago.

Submitted URL: https://basiljayhugo-pc6ufai3a7.edgeone.app/22330-jesse-williams-and-sarah-drew-revisit-the-fucked-up-and-reckless-greys-anatomy-moment-that-ma.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 site is a moderate‑risk article page with unknown subdomain age and low reputation; no phishing or malware observed but caution is advised.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Brand mention on a low‑ranked, untrusted domain
High JS obfuscation (potentially hidden malicious code)
Moderate suspicion due to lack of legitimate content signals
Safety Factors
No forms collecting credentials or payments
No Indicators of Compromise matched in threat intel
No JavaScript malware patterns detected
No network IDS alerts
Page type is "article", indicating news/reporting content
Domain age information unavailable

Details

Page Title

Jesse Williams and Sarah Drew revisit the 'fucked up' and 'reckless' 'Grey's Anatomy' moment that ma

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(38%)

Domain Information

The domain 'basiljayhugo-pc6ufai3a7.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'basiljayhugo-pc6ufai3a7'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Breaking it apart gives two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://basiljayhugo-pc6ufai3a7.edgeone.app/22330-jesse-williams-and-sarah-drew-revisit-the-fucked-up-and-reckless-greys-anatomy-moment-that-ma.html

Page Load Overview

11.89s
Total Load Time
20
HTTP Requests
12
Domains
106 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:8,653 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
38%
entertainment media
37%
corporate
35%
news media journalism
27%
adult content
26%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8101.33.10.10Frankfurt am Main, Hesse, Germany
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2142.251.13.94United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
2142.250.154.95United States
AS15169Google LLC
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AA921B1BB34012385E674254A485B2BC7F5C8477E302ADA054DFE77863866EB893A7D1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:bahnYf8zX+4vzy2FvWDUvijvAdlJKJtJ/cZ8n0vqr5/x7qbxx4Q+L3y2xOJnKe2y:Ghnz+FjJUYgPiDwdf+DYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20492:dBZnt2UkAfIAIkkODEDcRuANwjdB4oVoYcsEECFpSCqBGEDADDiJfBEzRgJBBBUMAAoIQpBAmGgM7GrDSSLgEUQzDBuIvY9g

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:000000383c3c00ff
Perceptual Hash:c22ded02cd4ebc2e
Difference Hash:e1c1e1c1c9d9c1c1
Wavelet Hash:3900007c7c7c7cff
Color Hash:#6fd22d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data