Security Scan Report: net-chocolate-eoazrqzpzo-ffo2jdwx8i.edgeone.app

Submitted: Feb 21, 2026, 10:21:21 PMCompleted: Feb 21, 2026, 10:22:53 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is net-chocolate-eoazrqzpzo-ffo2jdwx8i.edgeone.app and was registered NaN years ago.

Submitted URL: https://net-chocolate-eoazrqzpzo-ffo2jdwx8i.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

No malicious activity detected; site is a new subdomain on a hosting platform.

Risk Factors
New subdomain on edgeone.app with unknown creation date
Safety Factors
No malicious Indicators of Compromise matches
No credential or payment forms detected
No JavaScript malware patterns detected
No network IDS alerts detected
Domain age information unavailable

Details

Page Title

net-chocolate-eoazrqzpzo-ffo2jdwx8i.edgeone.app

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

healthcare medical

(62%)

Domain Information

The domain name 'net-chocolate-eoazrqzpzo-ffo2jdwx8i.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'net-chocolate-eoazrqzpzo-ffo2jdwx8i'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Segmentation suggests 2 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://net-chocolate-eoazrqzpzo-ffo2jdwx8i.edgeone.app/

Page Load Overview

0.51s
Total Load Time
7
HTTP Requests
1
Domains
2.1 MB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
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:74 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical62% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
62%
news media journalism
55%
government public service
51%
adult content
45%
education learning
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
743.152.26.58Singapore
71--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19C048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8OldK:khoC9JSqzzbs6o3Sj3gcrsw2eAY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184626:SpAZCAKAWAOAWb1GAHdJnqAAh0tUpKAYxRCaC0eSRYAkIGEI7AFAjUJJLADEAvFyAgROFFYyCJEoZ5YACCCEALMynQDHmjxI

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:f0d0c0c4f0f0f0f0
Color Hash:#862d6d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data