Security Scan Report: typical-coffee-kkntbycrtp-0czd1dc2s9.edgeone.app

Submitted: Feb 24, 2026, 7:58:02 PMCompleted: Feb 24, 2026, 7:59:26 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-0czd1dc2s9.edgeone.app and was registered NaN years ago.

Submitted URL: https://typical-coffee-kkntbycrtp-0czd1dc2s9.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%

1
Risk Score

No security concerns detected; the site appears to be a legitimate operational dashboard.

Safety Factors
Hosted on edgeone.app (a known developer hosting platform) with no suspicious activity
Low JavaScript obfuscation score (standard minification)
No redirects or cross‑origin credential exfiltration
Page title and content appear to be a legitimate operational dashboard
Domain age information unavailable

Details

Page Title

Dashboard Operacional - BLD

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

cryptocurrency blockchain

(42%)

Domain Information

Within the application-focused generic top-level domain (.app), 'typical-coffee-kkntbycrtp-0czd1dc2s9.edgeone.app' is registered and includes subdomain 'typical-coffee-kkntbycrtp-0czd1dc2s9'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Word splitting yields 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-0czd1dc2s9.edgeone.app/

Page Load Overview

0.96s
Total Load Time
4
HTTP Requests
2
Domains
102 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:3,110 chars
Detector Agreement:67%

Website Classification

Primary Category

cryptocurrency blockchain42% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
42%
government public service
41%
technology software
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
2151.101.129.229United States
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184249D592F0CD7A9AB7281443E9BA73664ACF4223C1DAFB4F9BC741C469E7923136C44

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pyH7WOmgd8qDj+j+v+V+k+G+y+JJrs6NaeZFHutoJBlP0xKvNnS+w6DCIIfaZeKB:uV7moobPtW6rscs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:215516:AYAAGIQwwBMM4RODsJ0+wJCQhCAcWSBVFMIxCQJMBWkGfJDikBQWYGopQ80BKcCUgIUZiQiYABIAADCBYYAlGIAvAqk7cYBh

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:81ffffef81ffcf83
Perceptual Hash:bb6e3d6a2b310c68
Difference Hash:0b29c05951219a1e
Wavelet Hash:80befea58191cf83
Color Hash:#d2532d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data