Security Scan Report: nhatkikiniemcap3-ne9vooofj0.edgeone.app

Submitted: Apr 17, 2026, 7:56:49 AMCompleted: Apr 17, 2026, 7:58:02 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is nhatkikiniemcap3-ne9vooofj0.edgeone.app and was registered NaN years ago.

Submitted URL: https://nhatkikiniemcap3-ne9vooofj0.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: 82%

2
Risk Score

The site shows no malicious activity and lacks credential or payment forms; despite a low ranking and unknown subdomain age, it is assessed as low risk.

Risk Factors
Low Cisco Umbrella ranking (455,732) for the subdomain
Subdomain creation date unknown, could be brand‑new
Safety Factors
Absence of login, payment, or credential‑harvesting forms
No malicious JavaScript or obfuscation detected
No external malicious domains referenced
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(78%)

Domain Information

You're looking at domain 'nhatkikiniemcap3-ne9vooofj0.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'nhatkikiniemcap3-ne9vooofj0'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nhatkikiniemcap3-ne9vooofj0.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:482 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical78% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
78%
adult content
74%
technology software
66%
cryptocurrency blockchain
61%
healthcare medical
54%

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

T10A031480DFF82FDCB01F85549B7D7B3B6A256003A48D419CB5AE0EB09F49989E4BB075

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+cjrzzzPNBLznvENzzLC0Hf/FbN9j+z3/Gvwwd:wNIqcjrzzzPNBLznvENzzLD//FbN9j+K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37689:QByUmiAUIecxiYURA0GjADCggsWgZAhNEUoNEJJvEEhYgIHhAa4WwXg4CpADRkAEqRIcGCzCVIAwoAFDpEJuaxYLMyaAREFg

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:9c1c3c3c3c3c3c3c
Perceptual Hash:de753c382828c3e7
Difference Hash:3030707071717171
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#8cd279

Other Hashes

Crop Resistant:3030707071717171

Scan History

Scan history not available

Unable to load historical scan data