Security Scan Report: experimental-harlequin-bslo0wrjdl-hbktw5iv7i.edgeone.app

Submitted: Mar 6, 2026, 7:09:50 AMCompleted: Mar 6, 2026, 7:11:16 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is experimental-harlequin-bslo0wrjdl-hbktw5iv7i.edgeone.app and was registered NaN years ago.

Submitted URL: https://experimental-harlequin-bslo0wrjdl-hbktw5iv7i.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

CODE ROOD – BRANDWEERPIER

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

cryptocurrency blockchain

(79%)

Domain Information

Within the application-focused generic top-level domain (.app), 'experimental-harlequin-bslo0wrjdl-hbktw5iv7i.edgeone.app' is registered, featuring subdomain 'experimental-harlequin-bslo0wrjdl-hbktw5iv7i'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Tokenizing the label suggests two 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://experimental-harlequin-bslo0wrjdl-hbktw5iv7i.edgeone.app/

Page Load Overview

0.52s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
HTML Lang Attribute:nl
Text Length:146 chars
Detector Agreement:100%
Language mismatch: Declared as nl but detected as en

Website Classification

Primary Category

cryptocurrency blockchain79% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
79%
corporate business
67%
documentation technical
62%
technology software
58%
adult content
56%

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

T188813286569B08112256D5E82F758B063A688587C64EC5143BDD39D1BFC38A4CDB7BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:MXnZp27qbPOVwhoo9qEZTKWJfqxH8PQ8HYiwUSrK2zAxkXXuHV5UCniguVJcxRdZ:uZpuVyZLbJfSHgQgYJTUcUhi7bWjie

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4002:oAgEgEACQAAQEgBIYARAARQAIAQhKMQKABQM4ECCQECRIQYAAEUAUAACCIBgAiCAgRAIBYMCQEFBCACBAIEAIiQggMAIAAIM

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:0e0c1c1c3c1f0c0c
Perceptual Hash:9a753395cc72ac4c
Difference Hash:3a18a86860a81838
Wavelet Hash:0f0c3c3c3c3f0c0c
Color Hash:#d2b379

Other Hashes

Crop Resistant:3a18a86860a81838

Scan History

Scan history not available

Unable to load historical scan data