Security Scan Report: statistical-blush-ghcn7gf1mt-o3eltj62q2.edgeone.app

Submitted: Mar 4, 2026, 4:27:37 AMCompleted: Mar 4, 2026, 4:28:55 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is statistical-blush-ghcn7gf1mt-o3eltj62q2.edgeone.app and was registered NaN years ago.

Submitted URL: https://statistical-blush-ghcn7gf1mt-o3eltj62q2.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: 88%

8
Risk Score

Impersonates a GCAA login page on a new, low‑reputation subdomain; likely phishing – do not trust.

Risk Factors
Brand impersonation: login page for GCAA on an unrelated domain
New, unknown‑age subdomain on a free hosting platform
Low domain reputation (rank > 100k)
Absence of any functional login form suggests a deceptive page
Domain age information unavailable

Details

Page Title

GCAA Login Page

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(54%)

Domain Information

The domain name 'statistical-blush-ghcn7gf1mt-o3eltj62q2.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'statistical-blush-ghcn7gf1mt-o3eltj62q2'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Breaking it apart gives 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://statistical-blush-ghcn7gf1mt-o3eltj62q2.edgeone.app/

Page Load Overview

0.34s
Total Load Time
2
HTTP Requests
1
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:117 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content54% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
54%
healthcare medical
48%
government public service
47%
news media journalism
40%
cryptocurrency blockchain
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17941049855E336A3343BA15507AB420576EE8003684CCE28FD9DB2E0CFC755F45D728A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TXW3lxRFk039J73NJEvdvZ4W/HCqRH5vJjczFwMJMj:TXklxRFk039J73NJEv34W/PRbjS7JMj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2396:ECABCAEgAEAIABBAAQAAIgAAAACAEABEAAEAGBAAQCBBAAEAABIA4AQQQBAAAwhQACQAgAIAgAAAAgACQAAgAAAkgAIDAEQA

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:fefefee6e6e6feff
Perceptual Hash:f7cc8c3333cc8833
Difference Hash:0202224e4c4c320a
Wavelet Hash:f2f2e2e2e0e0f0f0
Color Hash:#4044bf

Other Hashes

Crop Resistant:0202224e4c4c320a

Scan History

Scan history not available

Unable to load historical scan data