Security Scan Report: colonial-chocolate-9onfwalt.edgeone.app

Submitted: Aug 7, 2026, 12:50:54 PMCompleted: Aug 7, 2026, 12:52:14 PMpubliccompleted
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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 colonial-chocolate-9onfwalt.edgeone.app and was registered NaN years ago.

Submitted URL: https://colonial-chocolate-9onfwalt.edgeone.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

The site hosts a credential‑phishing login form that exfiltrates data to an external server and is flagged as a known attacker domain.

Risk Factors
Primary domain IoC match
Credential exfiltration to external server
Login form on untrusted subdomain
Unknown subdomain creation date
Domain age information unavailable

Details

Page Title

Email Update

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(33%)

Domain Information

The domain name 'colonial-chocolate-9onfwalt.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'colonial-chocolate-9onfwalt'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. It segments into 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://colonial-chocolate-9onfwalt.edgeone.app/

Page Load Overview

1.37s
Total Load Time
2
HTTP Requests
1
Domains
2 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:179 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical33% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
33%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T167D1559B55670850A663E1EC37E7A7053560C013AA4AC4347F5CB79C8F4AD96D8B33CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Vr5/+rNFMEFpF/9OAjqPrFiLi3iebUnUn2iQuriyu4/:Vr2FMEFpF+TFiLi3i0UnpiQ6iyb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6426:EuKPghADwQkkIkOBQICpqRQVAAgCAIIDBAKIkGiFhQIoAACAQcwCACgSAgAqQA1AeQJUMIiABgSESAAgNwARQESGAgFEUlqJ

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:ffffe7c3c3e7ffff
Perceptual Hash:b38ccc3399cc6699
Difference Hash:00000c140c0c0000
Wavelet Hash:0f0f272727270f0f
Color Hash:#3a4878

Other Hashes

Crop Resistant:00000c140c0c0000

Scan History

Scan history not available

Unable to load historical scan data