Security Scan Report: ordinary-violet-fkqdkyngck-rjwo4x39y7.edgeone.app

Submitted: Jan 15, 2026, 6:26:40 PMCompleted: Jan 15, 2026, 6:28:12 PMpubliccompleted
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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 ordinary-violet-fkqdkyngck-rjwo4x39y7.edgeone.app and was registered NaN years ago.

Submitted URL: https://ordinary-violet-fkqdkyngck-rjwo4x39y7.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; site appears legitimate.

Safety Factors
Established domain age
Absence of credential or payment forms
No malicious Indicators of Compromise
No external links or redirects
Content appears to be a simple file collection
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(69% confidence)

Category

news media journalism

(37%)

Domain Information

The domain name 'ordinary-violet-fkqdkyngck-rjwo4x39y7.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'ordinary-violet-fkqdkyngck-rjwo4x39y7'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Tokenizing the label 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://ordinary-violet-fkqdkyngck-rjwo4x39y7.edgeone.app/

Page Load Overview

0.68s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:69%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:69%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:85 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism37% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
37%
documentation technical
32%
cryptocurrency blockchain
30%
healthcare medical
28%
adult content
28%

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

T1B75294C5EFE61ADCB41FC4585FBE67292629A013E44CC58CB5AE0E60DF44584F4BB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBJhgRhMVhIhGhchsh1RaXQl:KrzhNK/lMHmGgdkqmyRye8KKd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13931:IA2itHAABQMQNLQEZQW4uAgCIIQuiRRgNwwdEBJqqCgagamKCII0wwAwSUVAIMaCiSqVVQgnQEBaRElBJAImCCpAOCYCJlUR

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:dcfcbcbc3c3c0000
Perceptual Hash:de9a61389a61c3c7
Difference Hash:3030606060600000
Wavelet Hash:dcfcfcfcbc3c0000
Color Hash:#d27e79

Other Hashes

Crop Resistant:3030606060600000

Scan History

Scan history not available

Unable to load historical scan data