Security Scan Report: sure-fuchsia-eykuvhjm-dpx5ua0i3gib.edgeone.app

Submitted: Jun 9, 2026, 4:01:10 PMCompleted: Jun 9, 2026, 4:02:19 PMpubliccompleted
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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 sure-fuchsia-eykuvhjm-dpx5ua0i3gib.edgeone.app and was registered NaN years ago.

Submitted URL: https://sure-fuchsia-eykuvhjm-dpx5ua0i3gib.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows no malicious activity but its subdomain age is unknown and ranking is low, indicating low risk.

Risk Factors
Unknown subdomain age
Low Cisco Umbrella ranking
Hosted on a generic developer subdomain platform
Safety Factors
No login or payment forms
No credential exfiltration observed
No malicious JavaScript patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇪🇸

CA

(29% confidence)

Category

cryptocurrency blockchain

(47%)

Domain Information

Domain 'sure-fuchsia-eykuvhjm-dpx5ua0i3gib.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'sure-fuchsia-eykuvhjm-dpx5ua0i3gib'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. It segments into 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sure-fuchsia-eykuvhjm-dpx5ua0i3gib.edgeone.app/

Page Load Overview

0.60s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇪🇸CA
Code: ca
Confidence:29%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ca
Detection Confidence:29%
Script Type:Unknown
HTML Lang Attribute:zh
Text Length:5,510 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as ca

Website Classification

Primary Category

cryptocurrency blockchain47% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
47%
news media journalism
41%
healthcare medical
38%
technology software
30%
finance banking
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EBC3F3909FF46FDCA02EC544976DBF3F2A655003645C028CB5AE0DB1AF48D86E4BB47A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wSqSjL7Tz7vvvP/7LvP/3z/vjXfHvPPTnb3PrP3vLHbnf3Hz3fT3nHjrLHH3TXHd:njL7Tz7vvvP/7LvP/3z/vjXfHvPPTnbB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123220:BAEpgSEAIEFAVAiKAAGoTAFCNACwwLAhEIsUAEFsNEIEhQo5oM2RCEABQQQgJAQEgSwSgEMACAiCVgJDIEACgMgAEAEQUNQC

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:1c1c1c1c1c1c1c1c
Perceptual Hash:987c6c7c5451c3e3
Difference Hash:b03031b1313031b1
Wavelet Hash:dcdcdcdc1c1c1c1c
Color Hash:#bf4057

Other Hashes

Crop Resistant:b03031b1313031b1

Scan History

Scan history not available

Unable to load historical scan data