Security Scan Report: antonella-nnqpqjhbgv.edgeone.app

Submitted: Apr 22, 2026, 11:15:02 PMCompleted: Apr 22, 2026, 11:16:09 PMpubliccompleted
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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 antonella-nnqpqjhbgv.edgeone.app and was registered NaN years ago.

Submitted URL: https://antonella-nnqpqjhbgv.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 72%

5
Risk Score

The site shows low risk: unknown subdomain age and low ranking, but no malicious activity or phishing elements.

Risk Factors
Low Cisco Umbrella ranking (#455,732)
Subdomain age unknown (could be brand‑new)
Safety Factors
No forms or credential collection
No malicious JavaScript or network alerts
Content appears to be a simple file collection page
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇪🇸

Spanish

(43% confidence)

Category

documentation technical

(75%)

Domain Information

The domain name 'antonella-nnqpqjhbgv.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'antonella-nnqpqjhbgv'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Breaking it apart gives 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://antonella-nnqpqjhbgv.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:290 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as es

Website Classification

Primary Category

documentation technical75% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
75%

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

T16962A4C4EFF51BDCA42BC0545BAE773A2629A003D44DC98CB5AE0EB09F44589B4FB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBtyXhy1hyJhy5hyVhy3hyhhyVhyxh1Z:KrzhNK/lMHmGgdkqTOGu+A2GOd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15944:cRdiKXJUDRvQMIQCDQGAwAECqgikCxBr04ANhAAvqCYQUIm8AYU0gyAQTQUAJIbEMSqWwwggQOn2RG9EKAomoCcANXYCAI0D

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:dcfcfcbc3c3c3c00
Perceptual Hash:da9c65986998c367
Difference Hash:3030703030707000
Wavelet Hash:dcfcfc3c3c3c1c00
Color Hash:#6ca6e0

Other Hashes

Crop Resistant:3030703030707000

Scan History

Scan history not available

Unable to load historical scan data