Security Scan Report: xenacious-violet-y7l2jv5kj5-lkgymf49n9.edgeone.app

Submitted: Feb 23, 2026, 9:58:33 PMCompleted: Feb 23, 2026, 9:59:45 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is xenacious-violet-y7l2jv5kj5-lkgymf49n9.edgeone.app and was registered NaN years ago.

Submitted URL: https://xenacious-violet-y7l2jv5kj5-lkgymf49n9.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; the site appears legitimate.

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

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

government public service

(44%)

Domain Information

Domain 'xenacious-violet-y7l2jv5kj5-lkgymf49n9.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'xenacious-violet-y7l2jv5kj5-lkgymf49n9'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xenacious-violet-y7l2jv5kj5-lkgymf49n9.edgeone.app/

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:67 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

government public service44% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
44%
real estate property
34%
news media journalism
33%
healthcare medical
25%

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

T16102D6CAEBA305C8A82BC0782FFF5324222DE017C449CD5DB99E0F548F0518875EB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBNh1RaXQl:KrzhNK/lMHmGgdkqAd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8736:IBWG1nQCBQMQND0cBU2AhAAiSAXGDTwAMFAJOAIKiDPUMIGoIMR0wwKACYcCENaAgTicVQDmSEB6DAlJAAIGCCpCeCaWAA0h

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#382dd2

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data