Security Scan Report: chosen-pink-mdkk7kir7t-gwwufctl0o.edgeone.app

Submitted: Mar 31, 2026, 6:01:37 AMCompleted: Mar 31, 2026, 6:02:46 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is chosen-pink-mdkk7kir7t-gwwufctl0o.edgeone.app and was registered NaN years ago.

Submitted URL: https://chosen-pink-mdkk7kir7t-gwwufctl0o.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 suspicious activity detected; site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting platform subdomain without suspicious content
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(33%)

Domain Information

Within the application-focused generic top-level domain (.app), 'chosen-pink-mdkk7kir7t-gwwufctl0o.edgeone.app' is registered; it also runs on subdomain 'chosen-pink-mdkk7kir7t-gwwufctl0o'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. It segments into two 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://chosen-pink-mdkk7kir7t-gwwufctl0o.edgeone.app/

Page Load Overview

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

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:72 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical33% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
33%
healthcare medical
28%
government public service
26%

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

T1B422C7C5EBE70AC8681BC4686FFF6725222DE053D448C95DB99E0F648F45188B4FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB6hlh9h1RaXQl:KrzhNK/lMHmGgdkqlHPd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10453:IB3CVnAQBUsTNBU0QUWAwAAyCASEjVQAkNgNEAVDyDwUAIEICMQ1wwCSKYcCgMaomzjdxWAnyEB6BAtAIAKWDioCOKaGBIEB

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:dcfcfcfcc0808000
Perceptual Hash:da9a386964c3c367
Difference Hash:3030606000000000
Wavelet Hash:dcfcfcfce0e0c080
Color Hash:#4d783a

Other Hashes

Crop Resistant:3030606000000000

Scan History

Scan history not available

Unable to load historical scan data