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Security Scan Report: nusadigitalflow-dptj67vhrte8.edgeone.app

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Submitted: Jun 25, 2026, 11:50:39 AMCompleted: Jun 25, 2026, 11:51:48 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/baltimore-penn-station-amtrak.html

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Informational travel article with no malicious indicators; classified as low risk.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain creation date unknown (could be brand‑new)
Safety Factors
Absence of forms that collect credentials or payment data
No malicious JavaScript behavior or network exfiltration
Content appears to be a travel article, not a phishing or scam page
Domain age information unavailable

Details

Page Title

Baltimore Penn Station Amtrak: What Travelers Need to Know

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'nusadigitalflow-dptj67vhrte8.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'nusadigitalflow-dptj67vhrte8'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Breaking it apart gives two 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/baltimore-penn-station-amtrak.html

Page Load Overview

1.56s
Total Load Time
13
HTTP Requests
10
Domains
183 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:4,252 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
travel tourism
34%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.240.127.234United States
AS7979Servers.com, Inc.
2192.178.183.95United States
AS15169Google LLC
2176.74.20.70Cricklewood, England, United Kingdom
AS41000Freethought Internet Limited
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.67.150.240United States
AS13335Cloudflare, Inc.
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

T1CF72F857A9C4523C6E33015B9493B3FCBB29880AE3428CB174A9F338D7857EB467A754

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XbhnYf8zX+7HBlUZzfxwL3HaFJoNjag4n+Zc:Xbhnz+7HnoFe3HFNjag4+2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16125:wigBBBiGiuBGVCTcYoJNCAwgdSePAooRWABAAYFJIACEIyqlEa+Q2CIE1CiYAWcBBjB4QhIMCYRzQAkgLRHNxSwKqIUEexAc

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:ff600000217d7d7d
Perceptual Hash:c23cc1cdbc9c3c3c
Difference Hash:f1c109d1c1c9c9c9
Wavelet Hash:ff610101017d7d7d
Color Hash:#d22da3

Other Hashes

Crop Resistant:f1c109d1c1c9c9c9

Scan History

Scan history not available

Unable to load historical scan data