Security Scan Report: given-magenta-z7oycwyquu-2x3fw0lx4e.edgeone.app

Submitted: Mar 8, 2026, 2:49:49 PMCompleted: Mar 8, 2026, 2:50:58 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 given-magenta-z7oycwyquu-2x3fw0lx4e.edgeone.app and was registered NaN years ago.

Submitted URL: https://given-magenta-z7oycwyquu-2x3fw0lx4e.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

(74% confidence)

Category

entertainment media

(66%)

Domain Information

Domain 'given-magenta-z7oycwyquu-2x3fw0lx4e.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'given-magenta-z7oycwyquu-2x3fw0lx4e'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. It segments into two 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://given-magenta-z7oycwyquu-2x3fw0lx4e.edgeone.app/

Page Load Overview

0.43s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:71 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

entertainment media66% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
66%
news media journalism
65%
government public service
38%
social media network
34%
healthcare medical
33%

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

T11202C6CAEB9705C8A81BC0682FFB5324222DE057C449CD5DB99E1F548F45288B5EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB6h1RaXQl:KrzhNK/lMHmGgdkqld

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8735:YgUC1nQCDZNQPJUeAU2ElBCiSACEDQwAMlKJCgAKiDOwAIEMAMR2wwqACbcCANbQgTi9VQQmSERaBAhJABYmqToCPWaWACGh

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:d89a983c6c6567c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#e0d26c

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data