Security Scan Report: disturbed-aqua-javvayyfrs-su0e7m6jzj.edgeone.app

Submitted: Mar 21, 2026, 1:00:39 AMCompleted: Mar 21, 2026, 1:01:51 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 disturbed-aqua-javvayyfrs-su0e7m6jzj.edgeone.app and was registered NaN years ago.

Submitted URL: https://disturbed-aqua-javvayyfrs-su0e7m6jzj.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: 92%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Subdomain hosted on edgeone.app (standard hosting platform)
No suspicious content or brand impersonation
Page title and OCR text show generic file collection information
No redirects or network‑level IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(75% confidence)

Category

documentation technical

(77%)

Domain Information

The domain 'disturbed-aqua-javvayyfrs-su0e7m6jzj.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'disturbed-aqua-javvayyfrs-su0e7m6jzj'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Segmentation suggests two 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://disturbed-aqua-javvayyfrs-su0e7m6jzj.edgeone.app/

Page Load Overview

1.61s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:75%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:75%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:80 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical77% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
77%
government public service
33%
healthcare medical
33%
news media journalism
28%

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

T18912D8C9EBE70AC8682BC4682FFF5725222DE053D449C94DB99E0F548F0518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBOhOh1RaXQl:KrzhNK/lMHmGgdkq7Ud

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9632:IBWm1nQCBQNwNDUUBU2AhAAiSAXOTTxAMFAJEAIiiTFQAIGoIMQ0wwKACYcCQcaAgTicVwLmSEF6TA1JAAIG6CpCeCaWAAUh

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a982c6d65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#d27f79

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data