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

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 20 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://gattewayhugo-2s1c0zr7xs.edgeone.app/20723-jeremy-london-arrested-for-domestic-violence.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%

3
Risk Score

The site appears to be a low‑risk article page with no malicious forms or indicators, though the subdomain is newly created and has a low ranking.

Risk Factors (3)
Unknown subdomain age on a hosting platform
Low domain ranking (outside top 100K)
High JavaScript obfuscation score (though not malicious)
Safety Factors (4)
Page type is article (og:type=article) – no brand impersonation
No credential or payment forms detected
No network IDS alerts or malicious indicators
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

Jeremy London Arrested for Domestic Violence

Scan Type

public

Domain Name Analysis

The domain 'gattewayhugo-2s1c0zr7xs.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'gattewayhugo-2s1c0zr7xs'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Breaking it apart gives 2 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://gattewayhugo-2s1c0zr7xs.edgeone.app/20723-jeremy-london-arrested-for-domestic-violence.html

Page Load Overview

34.57s
Total Load Time
126 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:1,943 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
news media journalism
34%
entertainment media
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8101.33.10.57Frankfurt am Main, Hesse, Germany
2142.250.154.94United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.240.108.84United States
AS7979Servers.com, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2142.251.13.95United 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

T16342E823FD8014186BB14395F0C2B2BCBD9E8019D743DDE48BE7A32C5AD16FB58A5A5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XthnYf8zX+L+JKJaJ/ct2xmPA2yYoYYrWag4MDw:Xthnz+L2JUcgPBYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12689:CEhSEIUxEJzmQA7AEoMoICYUcwmBBCM2sAM0QgNEPBIQoDC67EBgTBRAkBCC0AyAapIoGAicgDCRpGCKZiA4zAEMgCUEQSTM

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:c38f8181ffffffff
Perceptual Hash:bc3896c3e16165c7
Difference Hash:1e381f1fcc000000
Wavelet Hash:c3848100e4fcfcff
Color Hash:#e0d46c

Other Hashes

Crop Resistant:1e381f1fcc000000

Scan History

Scan history not available

Unable to load historical scan data