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

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

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
1185.15.59.240United States
AS14907WIKIMEDIA
1146.75.120.193Sweden
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