Security Scan Report: nusadigitalflow-dptj67vhrte8.edgeone.app

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Submitted: Completed: publiccompleted

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Informational article about Barbara Billingsley; no malicious signals detected, resulting in low risk.

Risk Factors (2)
Unranked domain (not in Cisco Umbrella top 1 M)
Sub‑domain creation date unknown
Safety Factors (3)
Absence of forms that collect credentials or payment data
No external IoC or IDS alerts
No malicious JavaScript behavior detected
Domain age information unavailable

Details

Page Title

Exploring Barbara Billingsley's Photo Gallery: A Look at Her Work

Scan Type

public

Domain Name Analysis

Domain 'nusadigitalflow-dptj67vhrte8.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'nusadigitalflow-dptj67vhrte8'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nusadigitalflow-dptj67vhrte8.edgeone.app/barbara-billingsley-photo-gallery.html

Page Load Overview

2.20s
Total Load Time
226 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:2,245 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
70%
corporate
35%
blog personal website
26%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.154.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
251.81.67.75Oakton, Virginia, United States
AS16276OVH SAS
2101.33.10.10Frankfurt am Main, Hesse, Germany
135--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E520937EC81512D2B7282ADA4D2B2FC3D99551EE3428CF9F099733C9BC5AD709B1A14

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XHhnYf8zX++dvylaaWrrNvSxoNjag4n+UC:XHhnz++d6Ux1ayNjag4+B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13871:QYFJAREAaIEkKyAEkMBhkQmGWQeEQIUEwDQ4FhGAEsLOAiBYxEUC5wigpoAxWrCgBCsdUKVEqAAqEIAgANJiaURBCyCBA6oQ

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:ff600000007d7d7d
Perceptual Hash:c23cc39c9c3cce3c
Difference Hash:f1c115c1c5c1c1c9
Wavelet Hash:ff7901010179797d
Color Hash:#86442d

Other Hashes

Crop Resistant:f1c115c1c5c1c1c9

Scan History

Scan history not available

Unable to load historical scan data