Security Scan Report: vidora-cgp1geelgg.edgeone.app

Submitted: Feb 8, 2026, 5:17:43 AMCompleted: Feb 8, 2026, 5:19:07 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is vidora-cgp1geelgg.edgeone.app and was registered NaN years ago.

Submitted URL: https://vidora-cgp1geelgg.edgeone.app/500.html

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well established domain (> 365 days)
No malicious Indicators of Compromise
No forms or sensitive data collection
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

vidora-cgp1geelgg.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

The domain name 'vidora-cgp1geelgg.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'vidora-cgp1geelgg'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. Breaking it apart gives 2 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://vidora-cgp1geelgg.edgeone.app/500.html

Page Load Overview

3.28s
Total Load Time
3
HTTP Requests
2
Domains
15 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszI2bMy8Old0:mhoC9JSqzzbs6o3Sj3gcrsE2eA2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184560:N4QQwEpJKBlZbE4WgGCgaBjESYQME7jlBAJwFQmEBIDgghSwMEacSkGABQpDRQDxUIQUAgDwUG8YIYQdklASutgcLArCMFMi

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#c5ae87

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data