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Security Scan Report: marvellous-coffee-jcreogdvx0-z3y8uxwubd.edgeone.app

Submitted: Mar 28, 2026, 12:51:35 AMCompleted: Mar 28, 2026, 12:52:44 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is marvellous-coffee-jcreogdvx0-z3y8uxwubd.edgeone.app and was registered NaN years ago.

Submitted URL: https://marvellous-coffee-jcreogdvx0-z3y8uxwubd.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: 94%

0
Risk Score

No malicious activity detected; site appears to be a benign file listing.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Low JavaScript obfuscation score
Standard hosting platform without known malicious activity
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇳🇴

Norwegian

(29% confidence)

Category

cryptocurrency blockchain

(85%)

Domain Information

Within the application-focused generic top-level domain (.app), 'marvellous-coffee-jcreogdvx0-z3y8uxwubd.edgeone.app' is registered; it also runs on subdomain 'marvellous-coffee-jcreogdvx0-z3y8uxwubd'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Tokenizing the label suggests 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://marvellous-coffee-jcreogdvx0-z3y8uxwubd.edgeone.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:no
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:456 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as no

Website Classification

Primary Category

cryptocurrency blockchain85% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
85%
documentation technical
67%
technology software
60%
healthcare medical
55%
finance banking
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13AD26091DFF41FEC641E81059BAD7B3B6B64A003E45D418CB4AE0E709F48986E4BB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KrzhNK/lMHmGgdkqw+y2iGyuCOC2CuWSSWyOi2yd:shNIMi+r+y2iGyuCOC2CuWSSWyOi2yd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28499:QBGjgDMSIAcgviCmok2oACIgAAGMUBBgAwACIQgrCmQIQKWaLWQUVgNQhLEHQsAChkd4HSUk+IBCxgHnrkAewD5BDAaXRgFA

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:9c1c3c3c3c3c3c3c
Perceptual Hash:de753c286064e3e3
Difference Hash:3030707070717170
Wavelet Hash:9c9c3c3c3c3c3c3c
Color Hash:#79c9d2

Other Hashes

Crop Resistant:3030707070717170

Scan History

Scan history not available

Unable to load historical scan data