Security Scan Report: enummimenhugo-dom8mdoq6p.edgeone.app

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Submitted: May 18, 2026, 10:45:15 PMCompleted: May 18, 2026, 10:47:17 PMpubliccompleted
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Summary

This website contacted 22 IPs in 2 countries across 24 domains to perform 29 HTTP transactions. The main domain is enummimenhugo-dom8mdoq6p.edgeone.app and was registered NaN years ago.

Submitted URL: https://enummimenhugo-dom8mdoq6p.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 65%

4
Risk Score

The site shows moderate risk due to unknown subdomain age, low ranking, high JS obfuscation, and multiple redirects, but lacks phishing or malware indicators.

Risk Factors
Unknown subdomain age on hosting platform
Low domain reputation ranking
High JS obfuscation (potentially hidden malicious code)
Excessive redirects
Safety Factors
No credential or payment forms
No Indicators of Compromise matched
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Jenny McBride

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(87%)

Domain Information

Within the application-focused generic top-level domain (.app), 'enummimenhugo-dom8mdoq6p.edgeone.app' is registered, featuring subdomain 'enummimenhugo-dom8mdoq6p'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. It segments into 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://enummimenhugo-dom8mdoq6p.edgeone.app/

Page Load Overview

52.75s
Total Load Time
48
HTTP Requests
28
Domains
2.3 MB
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:4,081 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
87%
entertainment media
72%
healthcare medical
63%
government public service
60%
adult content
55%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.26.4.30United States
AS13335Cloudflare, Inc.
252.207.109.58Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
2104.18.7.141United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
223.36.162.209Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.16.29.106United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2146.75.121.242Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
223.48.23.7Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.52.180.197Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
4822--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182C2E67359840F3A16924383B1807DADB82FED07D77789E1C1AB779583C2EF78A52492

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ahnz+3NjRMvhUnuDLFyYWWoBs34Bd6hMYrWag4A6q2:NjRMvBw8oBs6YrWag4A6q2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28198:UhRyhRTBQ8Q4yISqQBWgC4AEqgDFrgSogQICZuLwIEEsKKZRPYNFhAR5KRDgoRgzCsALNggQA6ggRIqphoeIURhMFIFoQKcR

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:dfff8fcf8f9f879f
Perceptual Hash:bec1ccc9c1611e3e
Difference Hash:16382c3c3c3c2f2e
Wavelet Hash:c2fe8687878f8383
Color Hash:#bc2dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data