Security Scan Report: biological-green-xyzonaety2-fcuzn8vfkt.edgeone.app

Submitted: Mar 1, 2026, 8:01:41 AMCompleted: Mar 1, 2026, 8:03:03 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 biological-green-xyzonaety2-fcuzn8vfkt.edgeone.app and was registered NaN years ago.

Submitted URL: https://biological-green-xyzonaety2-fcuzn8vfkt.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: 88%

2
Risk Score

No malicious activity detected; site appears benign.

Risk Factors
Subdomain on a hosting platform (edgeone.app) with unknown creation date
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low JavaScript obfuscation score
No network IDS alerts
Domain age information unavailable

Details

Page Title

CODE ROOD – BRANDWEERPIER

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

cryptocurrency blockchain

(81%)

Domain Information

The domain 'biological-green-xyzonaety2-fcuzn8vfkt.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'biological-green-xyzonaety2-fcuzn8vfkt'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. It segments into 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://biological-green-xyzonaety2-fcuzn8vfkt.edgeone.app/

Page Load Overview

0.72s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
HTML Lang Attribute:nl
Text Length:141 chars
Detector Agreement:100%
Language mismatch: Declared as nl but detected as en

Website Classification

Primary Category

cryptocurrency blockchain81% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
81%
corporate business
75%
adult content
67%
technology software
65%
documentation technical
62%

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

T13A814086469B09112256D5E83F768B0A39688687C94ED9143BDD35C0AFC38A4CDBBBCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:MXnZp2pNPVVIFeooMqNbZTKWJfq9HTU8HYi8H5s2zAxWXXuHV5UCniguVJcxcdL4:uZp2qgZftbJfOHTUgYvlUiUhi7b7kie

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4083:4AwABMABAAsAEjFh5qAABAYIABAIABIsB0AYBCgGAACIIQAIFAUFQAAAAYgAgoAMARAAAAIgCFEBAACAAIEWACRiwsRFAAAI

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:0e0c1c1c3c1e0e0c
Perceptual Hash:9a3633954c35ccce
Difference Hash:3a18a86060a81838
Wavelet Hash:0f0c3c3c3c3f0f0c
Color Hash:#86802d

Other Hashes

Crop Resistant:3a18a86060a81838

Scan History

Scan history not available

Unable to load historical scan data