Security Scan Report: nusadigitalflow-dptj67vhrte8.edgeone.app

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Submitted: Jun 17, 2026, 3:52:12 PMCompleted: Jun 17, 2026, 3:53:23 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 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/alistair-sinclair-google-scholar.html

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Informational article with no malicious signals; classified as low risk.

Risk Factors
Domain rank is low (455,732 in Cisco Umbrella)
Subdomain on edgeone.app with unknown creation date
Safety Factors
Content appears to be a news/article about a public figure
No external form submissions or cross‑origin credential handling
No malicious JavaScript behavior detected
Domain age information unavailable

Details

Page Title

Alistair Sinclair’s Work on Google Scholar: What Experts Are Getting Wrong

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'nusadigitalflow-dptj67vhrte8.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'nusadigitalflow-dptj67vhrte8'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nusadigitalflow-dptj67vhrte8.edgeone.app/alistair-sinclair-google-scholar.html

Page Load Overview

1.78s
Total Load Time
13
HTTP Requests
10
Domains
421 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:4,776 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.14.95United States
AS15169Google LLC
2172.240.127.234United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2195.201.4.60Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
135--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AA721A23FAC0613D2671405A6545F7BC7A1DC827E3458CE0B8ADE32CAB85AE7D672748

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:X6hnYf8zX+vnklYqV0F+MCU8wARiGoNjag4n+7Q:X6hnz+vnklYqV0F+3U8wZjNjag4+c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16861:DCBc5Igm4AQFASCPEgqAcSwbUUqxhl8ToAQG2MA18jD4EAAwGgQBDqhYBsRwQJAAg0lImB0BJAlFuUAYacAICgIAHgSUAMNY

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:ff7800003d217d7d
Perceptual Hash:8a3cc99a9cbc3cb4
Difference Hash:f1d115e1d1c9c9c1
Wavelet Hash:ff7800013d217d7d
Color Hash:#8e87c5

Other Hashes

Crop Resistant:f1d115e1d1c9cdc1

Scan History

Scan history not available

Unable to load historical scan data