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Security Scan Report: typical-coffee-kkntbycrtp-cwbckds27v.edgeone.app

Submitted: Feb 27, 2026, 10:02:22 PMCompleted: Feb 27, 2026, 10:03:45 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is typical-coffee-kkntbycrtp-cwbckds27v.edgeone.app and was registered NaN years ago.

Submitted URL: https://typical-coffee-kkntbycrtp-cwbckds27v.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low JavaScript obfuscation score
Hosted on a reputable development hosting platform
Domain age information unavailable

Details

Page Title

Dashboard Operacional - BLD

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

cryptocurrency blockchain

(34%)

Domain Information

The domain 'typical-coffee-kkntbycrtp-cwbckds27v.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'typical-coffee-kkntbycrtp-cwbckds27v'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Splitting it apart reveals 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://typical-coffee-kkntbycrtp-cwbckds27v.edgeone.app/

Page Load Overview

0.57s
Total Load Time
4
HTTP Requests
2
Domains
104 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:3,177 chars
Detector Agreement:67%

Website Classification

Primary Category

cryptocurrency blockchain34% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
34%
government public service
33%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
2104.16.174.226United States
AS13335Cloudflare, Inc.
42--

Detected Technologies1

jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126348E592F0CD7A9AB7285443E57A736686CF8223C1DAFB4F9BC741C469E392313AC44

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pyH7joA9XWA0j+j+v+V+k+G+y+JJGnYUoTgFGSwMJxlDKIc+we5SOLUUaeNTllqg:CuBMa0Id+4XRbs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:240092:dNAQgdwKK5JGBJcFgwAYwaqa0yBmAAjZIQUJRQJsGASkApQo6VwAEFohocggjkZgSWFASxDEASigIya5FRI0DQgmAwwAEIJU

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:81ffffed81ffcf83
Perceptual Hash:bb6e3d6a6b310c28
Difference Hash:0b29c05951211a1e
Wavelet Hash:81befea581918f83
Color Hash:#6240bf

Other Hashes

Crop Resistant:0b29c05951211a1e,0060808000000000,27a584a4031ce401

Scan History

Scan history not available

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