Security Scan Report: dashanddihugovhugo-gchn996pqm.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 14 domains to perform 19 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://dashanddihugovhugo-gchn996pqm.edgeone.app/20585-la-carta-de-una-aficionada-motiv-a-lotina.html

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site appears to be a low‑risk article page with no phishing or malware indicators, though the subdomain is newly created and unranked.

Risk Factors (3)
Unknown subdomain age on a hosting platform
Low domain ranking in Cisco Umbrella
High JavaScript obfuscation score (indicative of minified code, not necessarily malicious)
Safety Factors (4)
Page type identified as an article (og:type="article")
No forms or credential collection mechanisms
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

La carta de una aficionada motiv a Lotina

Scan Type

public

Domain Name Analysis

You're looking at domain 'dashanddihugovhugo-gchn996pqm.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'dashanddihugovhugo-gchn996pqm'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dashanddihugovhugo-gchn996pqm.edgeone.app/20585-la-carta-de-una-aficionada-motiv-a-lotina.html

Page Load Overview

12.90s
Total Load Time
97 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:7,412 chars
Detector Agreement:40%

Website Classification

Primary Category

news media journalism44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
44%
education learning
43%
corporate
35%
government public service
32%
documentation technical
32%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
2104.18.10.207United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
2172.240.127.244United States
AS7979Servers.com, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2192.178.183.94United States
AS15169Google LLC
2188.114.97.3United States
AS13335Cloudflare, Inc.
199--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC820833ADC00A291753138592C2F36EF87B8455F741C9D9F0AED76583CE6CA49BAE84

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMNhnYf8zX+CUJKJHshE4efkjGTQXfjdZ8cRlpEYuIuzYrWag4MDoq+:bQNhnz+C9sN7d2cRKI0YrWag4Aoq+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18559:Qd5OVD8SEhIKRh0GxAKIkVCgRkIIUEtTCARBAcyUMypzAIYEAU0AUwBEAZiLJBAXBNIsBUXHho6onag6JAUkEIgoSIgEMCMj

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:c3fff7c3c3c3c3c3
Perceptual Hash:b5d38b326c644cce
Difference Hash:1a18061616161636
Wavelet Hash:83cfc2c2c3c3c3c3
Color Hash:#4082bf

Other Hashes

Crop Resistant:1a18061616161636

Scan History

Scan history not available

Unable to load historical scan data