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Security Scan Report: gattewayhugo-2s1c0zr7xs.edgeone.app

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Submitted: May 20, 2026, 7:54:28 AMCompleted: May 20, 2026, 7:55:51 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 gattewayhugo-2s1c0zr7xs.edgeone.app and was registered NaN years ago.

Submitted URL: https://gattewayhugo-2s1c0zr7xs.edgeone.app/16145-10-mind-blowing-facts-about-hank-green.html

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

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

The site is a low‑risk article page on a hosting subdomain with no malicious indicators.

Risk Factors
Subdomain on hosting platform with unknown age
High JavaScript obfuscation score (static analysis shows unescape and concatenation)
Low domain reputation ranking
Safety Factors
Page type is an article (og:type=article) with no brand impersonation
No forms or credential collection mechanisms
No network IDS alerts or malicious indicators
Content appears to be a benign informational article
Domain age information unavailable

Details

Page Title

10 Mind-blowing Facts About Hank Green

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(84%)

Domain Information

Domain 'gattewayhugo-2s1c0zr7xs.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'gattewayhugo-2s1c0zr7xs'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. Word splitting yields two 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://gattewayhugo-2s1c0zr7xs.edgeone.app/16145-10-mind-blowing-facts-about-hank-green.html

Page Load Overview

12.36s
Total Load Time
20
HTTP Requests
12
Domains
88 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:10,551 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
84%
education learning
55%
social media network
51%
corporate
35%
news media journalism
29%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.20.8.223United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2192.178.183.95United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2142.251.14.94United States
AS15169Google LLC
2172.67.150.240United 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

T142A20933EB80322C576205926199BAFCB63F4464E7418DECD45AE21C63835E7E23B68D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XChnYf8zX+1vJKJaJ/ctoz3Ug2ZwlmWHO1U4Z0+zTQ39IYYrWag4MDw:XChnz+15JUebUSoXzTQ31YrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21397:AuDJ0gGdgS1OrhkkYO1XBAiXoAEmgggBOANEtYQgBJEEpAPICQJEBWMbAhCCwAjszNBDACEYARDAEegBOAJDFlQzTMLYMwCS

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:cf9fc383838383ff
Perceptual Hash:bc969238e565c365
Difference Hash:1e38262636373736
Wavelet Hash:e78f8383838183df
Color Hash:#864a2d

Other Hashes

Crop Resistant:1e38262636373736

Scan History

Scan history not available

Unable to load historical scan data