Security Scan Report: neat-turquoise-alkfmqtyru-s12il5sctt.edgeone.app

Submitted: Feb 28, 2026, 10:53:22 AMCompleted: Feb 28, 2026, 10:54:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is neat-turquoise-alkfmqtyru-s12il5sctt.edgeone.app and was registered NaN years ago.

Submitted URL: https://neat-turquoise-alkfmqtyru-s12il5sctt.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate and safe.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Content appears to be a simple image collection
Hosted on edgeone.app but exhibits no suspicious behavior
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(44% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'neat-turquoise-alkfmqtyru-s12il5sctt.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'neat-turquoise-alkfmqtyru-s12il5sctt'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. It segments into two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://neat-turquoise-alkfmqtyru-s12il5sctt.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:44%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:44%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:340 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T15072A5C5EFE62BDC641F84985FBE673A2629A003D44C858CB59E0E70DF44589F4BB1B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBBmhuZhumhu8huqhuOkhu+9ShusLhui:KrzhNK/lMHmGgdkqdKZr9bk79S/LPd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16218:IUUyGHYwRQsQOBwGZQmIgICioAAsGRUgEAgNAABajiFQAIGYNIo0w0AAGTVAUIaAIRqUYQQkxEfaZAlsYAKWACIAPCaCAEEB

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:dcdcfcbc3c3c3c00
Perceptual Hash:da986c9861c7c667
Difference Hash:3030307870707000
Wavelet Hash:dcfcfc3c3c3c1c00
Color Hash:#79a1d2

Other Hashes

Crop Resistant:3030307870707000

Scan History

Scan history not available

Unable to load historical scan data