Security Scan Report: zonasparklab-dpbus4d60dfn.edgeone.app

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Submitted: Jun 19, 2026, 4:20:18 PMCompleted: Jun 19, 2026, 4:21:29 PMpubliccompleted
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Summary

This website contacted 27 IPs in 4 countries across 27 domains to perform 2 HTTP transactions. The main domain is zonasparklab-dpbus4d60dfn.edgeone.app and was registered NaN years ago.

Submitted URL: https://zonasparklab-dpbus4d60dfn.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: 58%

2
Risk Score

No malicious indicators found; low risk despite unknown sub‑domain age and low reputation.

Risk Factors
Unknown sub‑domain creation date
Low Cisco Umbrella ranking (455,732)
Hosted on a generic hosting platform sub‑domain
Safety Factors
Absence of credential or payment collection forms
No malicious external links or IoC matches
No JavaScript exfiltration or suspicious network activity
No IDS/Suricata alerts
Domain age information unavailable

Details

Page Title

steve and maggie halloween video

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(68%)

Domain Information

Within the application-focused generic top-level domain (.app), 'zonasparklab-dpbus4d60dfn.edgeone.app' is registered, featuring subdomain 'zonasparklab-dpbus4d60dfn'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Tokenizing the label suggests 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://zonasparklab-dpbus4d60dfn.edgeone.app/

Page Load Overview

2.08s
Total Load Time
41
HTTP Requests
37
Domains
4.2 MB
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-US
Text Length:3,231 chars
Detector Agreement:60%

Website Classification

Primary Category

adult content68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
68%
government public service
65%
news media journalism
40%
healthcare medical
32%
education learning
29%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1142.251.13.119United States
AS15169Google LLC
113.226.244.46United States
AS16509Amazon.com, Inc.
1104.18.35.32United States
AS13335Cloudflare, Inc.
118.66.112.47United States
AS16509Amazon.com, Inc.
165.9.175.79United States
AS16509Amazon.com, Inc.
192.113.23.31Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
1184.24.77.52Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1104.18.43.164United States
AS13335Cloudflare, Inc.
1142.250.154.207United States
AS15169Google LLC
4127--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18DB21C7716C82A3D570203C2608272FCB5AF6E05FA53C8F175B773679B85ED7892206A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SG7hnYf8zX+K6VMvbjh6PDy+VYYR1HxDoshi3loC6Uag49UI5:R7hnz+7M3OTVYY9NhimC6Uag4mo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24274:A0ADAAhEAIwAMPMh0J8GAUC6YFABsxmAAARDhiiKIbHVCPgKCCFdwKtAwjIQEEibkIAwJCB1CY/CAgAEyIIoAGDU07AeDQLA

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:000000003e3e7e7e
Perceptual Hash:926dc396c36926d3
Difference Hash:716501f9fce4d8c8
Wavelet Hash:1810000c7f7f7f7e
Color Hash:#1f8693

Scan History

Scan history not available

Unable to load historical scan data