Security Scan Report: typical-blush-vfimkjcvuu-vref5q7okt.edgeone.app

Submitted: Mar 2, 2026, 11:03:16 AMCompleted: Mar 2, 2026, 11:04:34 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 11 HTTP transactions. The main domain is typical-blush-vfimkjcvuu-vref5q7okt.edgeone.app and was registered NaN years ago.

Submitted URL: https://typical-blush-vfimkjcvuu-vref5q7okt.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 85%

10
Risk Score

Site impersonates JES College admissions on a brand‑new subdomain; likely phishing.

Risk Factors
Brand impersonation on an untrusted domain
Critical domain age (new subdomain)
Hosted on free hosting platform (edgeone.app) rather than official college infrastructure
Domain age information unavailable

Details

Page Title

Admissions 2025–26 — JES College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(91%)

Domain Information

You're looking at domain 'typical-blush-vfimkjcvuu-vref5q7okt.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'typical-blush-vfimkjcvuu-vref5q7okt'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Tokenizing the label suggests 2 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://typical-blush-vfimkjcvuu-vref5q7okt.edgeone.app/

Page Load Overview

1.06s
Total Load Time
11
HTTP Requests
3
Domains
375 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:6,506 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software91% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
91%
documentation technical
61%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.58.206.74Singapore
3142.250.187.227Singapore
343.152.26.58SingaporeUnknown
113--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17433502096E4603A55A3C8C16AB00F6F6AA4E617D80B5708B3FE5BD48FD7DE2DD13648

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:yoArjhHpa1hw792tDlQDGIZdG2YVIhnjovn+dY4hF17smoE/LUMNY+ONJzsstAr8:T1hoMk3ZdGhVKnjovnsVIsYhsoyCD7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50567:AaqgBARIIYQJByJIDRIqwwgHhIYHmAAIi6MUcCBAkEBChgCHziQAEoAgQSXFMmACJDcVSQz3XgJMAQyKkGIYkwBE0M80AIYx

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:ff00000000ffffff
Perceptual Hash:aa4ed597288bf854
Difference Hash:cc01310b8358d893
Wavelet Hash:ff00000000ffffff
Color Hash:#9953ac

Scan History

Scan history not available

Unable to load historical scan data