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Security Scan Report: nusadigitalflow-dptj67vhrte8.edgeone.app

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Submitted: Jun 29, 2026, 10:40:36 AMCompleted: Jun 29, 2026, 10:41:45 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 2 HTTP transactions. The main domain is nusadigitalflow-dptj67vhrte8.edgeone.app and was registered NaN years ago.

Submitted URL: https://nusadigitalflow-dptj67vhrte8.edgeone.app/andrew-wommack-home-pictures.html

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Low risk page; no malicious indicators detected.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Sub‑domain on a hosting platform with unknown creation date
Safety Factors
Absence of forms that collect credentials or payment data
No malicious network or IDS alerts
Content appears to be educational/informational
Domain age information unavailable

Details

Page Title

Understanding Andrew Wommack Home Pictures: A Visual Guide to His Teachings

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(71%)

Domain Information

You're looking at domain 'nusadigitalflow-dptj67vhrte8.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'nusadigitalflow-dptj67vhrte8'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Word splitting yields 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://nusadigitalflow-dptj67vhrte8.edgeone.app/andrew-wommack-home-pictures.html

Page Load Overview

2.44s
Total Load Time
13
HTTP Requests
10
Domains
387 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-US
Text Length:4,040 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
71%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2172.217.208.95United States
AS15169Google LLC
2109.95.157.137Poland
AS48896dhosting.pl Sp. z o.o.
135--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
WordPress
75%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF72EA37AF85522C277201446982B3FCBD6D802ED78189F578AEAB2C9BC56CF9D36504

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XXhnYf8zX+4VE8V7RV6MVqlknVSgK80ehzKzRk4dw7NXoNjag4n+oEhS:XXhnz+4VE8VlVjVPnVSgK8xzkkmAN4NG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16021:1CBNgIiAgCOnZDQ3BKSBHMkDSSeABgYmIESGSgkFIzHIEgFABDo+QQqWoA2BXRDCUCQVIepEHyhlmABBAQFEzoAmZghJCzkS

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:ff7000003d317d7d
Perceptual Hash:ca39c38cbc9c3c9c
Difference Hash:f1c915c1d9e1c1c1
Wavelet Hash:ff7901013d317971
Color Hash:#1f9367

Other Hashes

Crop Resistant:f1c913c1d9e1c1c1

Scan History

Scan history not available

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