Security Scan Report: slow-blush-am6arushwu-pkfjn7f735.edgeone.app

Submitted: Mar 30, 2026, 8:24:24 PMCompleted: Mar 30, 2026, 8:25:31 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is slow-blush-am6arushwu-pkfjn7f735.edgeone.app and was registered NaN years ago.

Submitted URL: https://slow-blush-am6arushwu-pkfjn7f735.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: 72%

5
Risk Score

Marketing page on a new hosting subdomain; no clear threats but unknown age warrants caution.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new)
Domain age unknown, increasing suspicion
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware or obfuscation
Only legitimate external resources (Google Fonts) loaded
Domain age information unavailable

Details

Page Title

Diagnóstico Estratégico Gratuito · Samy MKT

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

social media network

(98%)

Domain Information

Within the application-focused generic top-level domain (.app), 'slow-blush-am6arushwu-pkfjn7f735.edgeone.app' is registered, featuring subdomain 'slow-blush-am6arushwu-pkfjn7f735'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. Segmentation suggests 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://slow-blush-am6arushwu-pkfjn7f735.edgeone.app/

Page Load Overview

0.64s
Total Load Time
8
HTTP Requests
3
Domains
196 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:3,000 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network98% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
98%
corporate business
63%
news media journalism
63%
entertainment media
51%
government public service
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.140.170United States
AS15169Google LLC
243.152.26.58Singapore
2142.251.127.94United States
AS15169Google LLC
83--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13DD2B33175B148327063C19D72869B4933587103BC0AC5A8B7ED3A948FCEED9A9536FD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Q5RLGkAa8oNn3fUfZk2Kfvma5uis447XUFKN5rxjmAp3/rtN+Eltaw:811fUfZ98m0s4cdN5rxjme/vht

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31113:GKQAsrQqwARKbFAIJSEDB3yNmhgB5LEh01IkhJiGAg8BSLQrhLSCSAldACcxIkJwoWkAAMQyRBFIAWRAFYAhltiEAEoCBw74

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:3f07072767e7ffff
Perceptual Hash:a230dcc6ccd972f8
Difference Hash:eadecccccccc1408
Wavelet Hash:070303070767e7ff
Color Hash:#6ce07f

Other Hashes

Crop Resistant:eadecccccccc1408

Scan History

Scan history not available

Unable to load historical scan data