Security Scan Report: vidora-cgp1geelgg.edgeone.app

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Submitted: Feb 4, 2026, 3:06:53 AMCompleted: Feb 4, 2026, 3:08:20 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 vidora-cgp1geelgg.edgeone.app and was registered NaN years ago.

Submitted URL: https://vidora-cgp1geelgg.edgeone.app/_global-error.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; page appears legitimate.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
No external links or redirects
Domain age information unavailable

Details

Page Title

500: Internal Server Error.

Scan Type

public

Language

🇩🇪

German

(36% confidence)

Category

news media journalism

(77%)

Domain Information

The domain name 'vidora-cgp1geelgg.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'vidora-cgp1geelgg'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vidora-cgp1geelgg.edgeone.app/_global-error.html

Page Load Overview

10.59s
Total Load Time
9
HTTP Requests
1
Domains
132 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:36%
Script Type:Latin
Text Length:54 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
77%
documentation technical
77%
technology software
76%
government public service
76%
cryptocurrency blockchain
72%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
943.152.26.58Singapore
91--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158C1226AA809EE46EC3A7C5D043EAF3E54CD843BC2A5C97DA7DDCE0506825B91B91DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:0rUHnHJxM0SKcK7ZozTk7cg1mWqp+0xmzq2PKAcHcbSJ5giluM964eW:TnHMggWqp+MmzO5giluM96E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5694:KkFBAlAE0AECCADBIJIgRQAIkAEABIBCBIAggIABIRkkBEgAAYgEgIoAoAgoF4AA1ZdA5CAASBWCgi2gAKIDBREAgGEkAIoA

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:ffffffe7e7ffffff
Perceptual Hash:b323cccc3333cccc
Difference Hash:0000000808000000
Wavelet Hash:03033f27273f3333
Color Hash:#d28b79

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data