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Security Scan Report: miniature-aquamarine-4vb8o48bkk-b6mwtmybb9.edgeone.app

Submitted: Jan 7, 2026, 2:41:56 AMCompleted: Jan 7, 2026, 2:43:21 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 3 HTTP transactions. The main domain is miniature-aquamarine-4vb8o48bkk-b6mwtmybb9.edgeone.app and was registered NaN years ago.

Submitted URL: https://miniature-aquamarine-4vb8o48bkk-b6mwtmybb9.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Site mimics JKBOSE results on a low‑ranked domain; likely phishing attempt.

Risk Factors
Brand impersonation of JKBOSE on an unrelated domain
Low Cisco Umbrella ranking for a site claiming official status
Collection of personal identifiers (roll number, name) without legitimate purpose
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

JKBOSE - Results

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(38%)

Domain Information

The domain 'miniature-aquamarine-4vb8o48bkk-b6mwtmybb9.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'miniature-aquamarine-4vb8o48bkk-b6mwtmybb9'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Segmentation suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://miniature-aquamarine-4vb8o48bkk-b6mwtmybb9.edgeone.app/

Page Load Overview

2.64s
Total Load Time
4
HTTP Requests
3
Domains
1 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:148 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning38% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
38%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
1185.15.59.240United States
AS14907WIKIMEDIA
1146.75.120.193Sweden
AS139341
43--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE911D9355E31002BA4354B4BFEBAA063184C513C64BCE747E8C2698CFCA9959AA338D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TU4NaZvEOZ1lkgCdtitkkmFaHlpCKB9FN1EZRiWFZ9LGCs:TFNAZqdJBFaOKBvNSZRpFZtGCs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4454:QSxAYAQQQUBEcSAIQCIFARQKBoBCCAAIhAAAADBgCGR4IgEKgAIAgAmAICACSCAIIAgEYAAC6AoYAMAAAIIAgGJAGJBEDBMo

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:e7e7e7e7ffffffff
Perceptual Hash:b3339999cc666626
Difference Hash:0c0c0c0c08000000
Wavelet Hash:00042000f0f0f0f0
Color Hash:#ac53ac

Other Hashes

Crop Resistant:0c0c0c0c08000000

Scan History

Scan history not available

Unable to load historical scan data