Security Scan Report: digital-scarlet-7nccwzqb9h-jdotf2k16g.edgeone.app

Submitted: Feb 24, 2026, 7:25:12 AMCompleted: Feb 24, 2026, 7:26:31 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is digital-scarlet-7nccwzqb9h-jdotf2k16g.edgeone.app and was registered NaN years ago.

Submitted URL: https://digital-scarlet-7nccwzqb9h-jdotf2k16g.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Curso Pro Fortnite em 7 Dias

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

entertainment media

(83%)

Domain Information

Within the application-focused generic top-level domain (.app), 'digital-scarlet-7nccwzqb9h-jdotf2k16g.edgeone.app' is registered and includes subdomain 'digital-scarlet-7nccwzqb9h-jdotf2k16g'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. Splitting it apart reveals 2 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://digital-scarlet-7nccwzqb9h-jdotf2k16g.edgeone.app/

Page Load Overview

0.68s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:608 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media83% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
83%
education learning
83%
gambling betting
69%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110425225A2E301225453A3E46FB68B477750D503D90BCD1A3BDEA7984FCAA91CCE278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:mIfSl86d97qfPFG+tyEqW0gFkop7EMIKpeodnNEKjZ6zycwpyJEWFkVhsrXVvSFT:MS1FbIG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13098:JOjRHngaQIOEFCNCMxqEFBMMJAdyZQkKBClAhG1ACQAA5+HlEOaIqC4DAoecCApOSMgpAAkiVMABgwhwNIAEKSFGBCIUGilE

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:3f1f7f7f018181ff
Perceptual Hash:a8929e3cc793d323
Difference Hash:f1b3ddcf2b3333e7
Wavelet Hash:1f1f7f3f0101013f
Color Hash:#bf408a

Scan History

Scan history not available

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