Security Scan Report: poor-plum-r5bkbrn1-dp4yardgj0sp.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 7 IPs in 3 countries across 3 domains to perform 8 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 5 months ago.

Submitted URL: https://poor-plum-r5bkbrn1-dp4yardgj0sp.edgeone.dev/

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Own-brand 'Green Apple Center' account portal on a random free-hosting subdomain; no impersonation, no exfiltration, no malware. The password/phone signup on an unattributed host keeps it at moderate risk — avoid reusing real credentials.

Risk Factors (3)
Registration form collects a password plus phone number and SMS code on an anonymous, randomly-named subdomain of a free hosting platform
No published operator identity, company registration or governing contact details behind 'Green Apple Center' to corroborate the account system
Subdomain creation date unknown (platform tenant), so the deployment could be brand new
Safety Factors (5)
Forms are same-origin; no cross-origin form action and no credential exfiltration detected
No JavaScript malware patterns, no high-precision hunting-rule hits, no known phishing kit in the roster
Multi-page structure with dashboard, cart, tool requests, about/details sections and eight language options suggests a functioning application rather than a single-page credential harvester
Page mentions a physical address and presents its own brand rather than impersonating another entity
No payment or card fields on the scanned page
Domain age information unavailable

Details

Page Title

Green Apple Center

Scan Type

public

Domain Name Analysis

The domain name 'poor-plum-r5bkbrn1-dp4yardgj0sp.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'poor-plum-r5bkbrn1-dp4yardgj0sp'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Green Apple Center The Available Tool Welcome! ( seeaamenes | G Continue with Google Create a new account Host my password EE,

Page Load Overview

0.79s
Total Load Time
803 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:3,379 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
50%
documentation technical
33%
adult content
25%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.246.29Singapore
1195.154.239.26Paris, Île-de-France, France
AS12876Scaleway SAS
1142.251.155.120Google · CDNUnited States
AS15169Google LLC
143.174.247.29Singapore
1195.154.239.25Paris, Île-de-France, France
AS12876Scaleway SAS
1142.251.153.120Google · CDNUnited States
AS15169Google LLC
1142.251.157.120Google · CDNUnited States
AS15169Google LLC
87--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107140977A1A12D324667919A3553636835388003E60AF8383FAC53AD0FDFDD7A17B6C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ZVtnjsoXuuxq4dcli+u99DZENDfGwTuvdJptTsNvJn2r26zFUzU+:RjsY1Ei+u99DZENDfGwTuvdJptTsdJ3t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:195619:K8AQogFoL0g4QuBwHKkSDwJYg1gDwImkqgEECSDwACIqiBoKgpoIRQAByIABFSIYAAIbUwIo2NewIUzQ0EbSUiTQ7DhCpBIG

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:00ffff7f3f1f013f
Perceptual Hash:80737f1f40781f63
Difference Hash:f1e8eefcfe7c9fe7
Wavelet Hash:00ff7f3f1f0f0003
Color Hash:07000007000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data