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Security Scan Report: okcl-admission-dashboard-v2-ynsa22krrs.edgeone.dev

Submitted: Apr 4, 2026, 6:41:21 AMCompleted: Apr 4, 2026, 6:42:42 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is okcl-admission-dashboard-v2-ynsa22krrs.edgeone.dev and was registered NaN years ago.

Submitted URL: https://okcl-admission-dashboard-v2-ynsa22krrs.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Site impersonates Google on a new hosting subdomain; likely phishing – do not trust.

Risk Factors
Brand impersonation on an unranked, newly created subdomain
Hosting on a free platform (.edgeone.dev) with unknown subdomain age
Domain not listed in Cisco Umbrella top 1 M
Domain age information unavailable

Details

Bot Protection Detected

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

Page Title

OKCL District Dashboard

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'okcl-admission-dashboard-v2-ynsa22krrs.edgeone.dev' is registered; it also runs on subdomain 'okcl-admission-dashboard-v2-ynsa22krrs'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://okcl-admission-dashboard-v2-ynsa22krrs.edgeone.dev/

Page Load Overview

2.10s
Total Load Time
10
HTTP Requests
2
Domains
310 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:1,538 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
434.231.93.36United States
AS15169
343.174.247.29Singapore
AS139341ACE
3142.251.14.101United StatesUnknown
103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144518625625C2D3D41070255F971B33C75BE9389C70E5838B0A823B5ABC7FE598A729C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRjC80GKWurVw7Ep2QkMnjlOcmStHdyTU/djojhllJRVuT1hXvPh1JTU/djojhl/:TBR7osaEXSD/cvK1hXvPhc/cy1y3enPc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2467:ECCBSEgAIACABIAEAAwBACQgAACAABIAIAgBACEAIACCQIIAAAAAAAACJiQAAAAAAAAEEABCgAABAoEEQAAEIAEACSAYCAAI

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:0000181818180000
Perceptual Hash:993366cc9933cccc
Difference Hash:0008323232320c10
Wavelet Hash:00003c3c3f3f0f0f
Color Hash:#6c40bf

Other Hashes

Crop Resistant:0008323232320c10

Scan History

Scan history not available

Unable to load historical scan data