Security Scan Report: magnificent-aquamarine-pr9ocls8-dpeo9ptnvgkv.edgeone.app

Submitted: Jun 10, 2026, 9:19:10 AMCompleted: Jun 10, 2026, 9:20:43 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is magnificent-aquamarine-pr9ocls8-dpeo9ptnvgkv.edgeone.app and was registered NaN years ago.

Submitted URL: https://magnificent-aquamarine-pr9ocls8-dpeo9ptnvgkv.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(37%)

Domain Information

The domain 'magnificent-aquamarine-pr9ocls8-dpeo9ptnvgkv.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'magnificent-aquamarine-pr9ocls8-dpeo9ptnvgkv'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://magnificent-aquamarine-pr9ocls8-dpeo9ptnvgkv.edgeone.app/

Page Load Overview

6.43s
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 technical37% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
37%
phishing scam
29%
news media journalism
27%
adult content
26%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3101.33.10.10Frankfurt am Main, Hesse, Germany
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15302C5CAEBA305C8A82BC4782FFB5324222DE057D449CD5DB99E1F548F4518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBLwh1RaXQl:KrzhNK/lMHmGgdkqUwd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8780:JAUC1nAGBQMQPBcdoV2gxAAiSQGkDQQANFANSABKyDKQAYEIQMT0wwKACYcCANaCgTicVQAmSEhaBAhBCCIGCCsGOia3AMED

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:da9a98bc6c6561c3
Difference Hash:3038580000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#75783a

Other Hashes

Crop Resistant:3038580000000000

Scan History

Scan history not available

Unable to load historical scan data