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Security Scan Report: study-blooket-umb54rzcq7.edgeone.app

Submitted: Mar 23, 2026, 12:06:59 AMCompleted: Mar 23, 2026, 12:08:21 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 5 HTTP transactions. The main domain is study-blooket-umb54rzcq7.edgeone.app and was registered NaN years ago.

Submitted URL: https://study-blooket-umb54rzcq7.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Site mimics Blooket on a new hosting subdomain without credential collection; moderate risk brand impersonation.

Risk Factors
Brand impersonation on a non‑official domain
New/unknown subdomain on a free hosting platform
Domain age unknown (potentially freshly registered)
Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment collection forms
No JavaScript malware patterns detected
Only benign external resources (Google Fonts) loaded
Domain age information unavailable

Details

Page Title

Dashboard | Blooket

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(32%)

Domain Information

Within the application-focused generic top-level domain (.app), 'study-blooket-umb54rzcq7.edgeone.app' is registered with subdomain 'study-blooket-umb54rzcq7'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. It segments into 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://study-blooket-umb54rzcq7.edgeone.app/

Page Load Overview

0.51s
Total Load Time
5
HTTP Requests
3
Domains
82 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:55 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain32% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
32%
gambling betting
27%
news media journalism
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.141.74Singapore
AS15169
1142.251.141.99United States
AS15169Google LLC
143.152.26.58Singapore
AS139341ACE
53--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7C1862BA56210426003A13D3FF35F453B77C1139702C5597FBC9298CF86B659862BED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Tgw2zA+NEJqhDbFzwamqjp71i/R06cJVOp2yYlPizOquj:Z2zAIEcDbFzwamce/R06cJVOp1SPizOB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5942:gAEJZAAKIIYECqJClAIAAACAAYFGIB4IgAIFBhgW4kIwIQIQIgBKa6IEhAiIgggALGABIoACigAFFmFQFkAIAxUAgSAFiCAA

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:0018003c3c000800
Perceptual Hash:9b8c64339bcc6633
Difference Hash:00300c71680c3000
Wavelet Hash:0c0c243c3f273f3f
Color Hash:#ac539f

Other Hashes

Crop Resistant:00300c71680c3000

Scan History

Scan history not available

Unable to load historical scan data