Security Scan Report: nusadigitalflow-dptj67vhrte8.edgeone.app

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Submitted: Jun 20, 2026, 12:25:30 AMCompleted: Jun 20, 2026, 12:26:39 AMpubliccompleted
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Summary

This website contacted 8 IPs in 4 countries across 8 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/alpine-nursery-stockton.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low‑risk article page; no concrete malicious signals detected.

Risk Factors
Domain rank 455,732 (low reputation)
Subdomain on edgeone.app with unknown creation date
Safety Factors
No forms or data collection fields
No external credential exfiltration observed
No malicious IoC or YARA detections
No network‑level IDS alerts
Domain age information unavailable

Details

Page Title

Alpine Nursery Stockton: A Guide to Growing Cold-Hardy Plants

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

phishing scam

(71%)

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 4 vowels and three consonants. Segmentation suggests 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/alpine-nursery-stockton.html

Page Load Overview

1.95s
Total Load Time
19
HTTP Requests
15
Domains
662 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:3,459 chars
Detector Agreement:80%

Website Classification

Primary Category

phishing scam71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

phishing scam
71%
adult content
68%
blog personal website
68%
social media network
66%
download file sharing
66%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.20.95United States
AS15169Google LLC
22.16.10.154Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.240.108.76United States
AS7979Servers.com, Inc.
287.250.247.183Russia
AS13238YANDEX LLC
2183.79.219.124Japan
AS24572Yahoo Japan
2142.251.110.119United States
AS15169Google LLC
198--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15372F86BEAA0143D2B624208B5C1F3BCB96D5416E7869CB4789CF3389F896DB447252C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jL6cm253VomvPYf85ZEQV+wRLqa6MfcLUhkDQan5EWwzQvkhqeTVWiZly3lmjMlP:X5hnYf8zX+EPzQ0Uif7roNjag4n+wjE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16991:kkohIhB5iJjghKgweIXFDT6B4Kyp1GYAQGJFgQAJMTNQ0cKTSJACShgIKEBCAoJAQVlMBgwQCCWRSwkgshE5wQlQB/ECG9p4

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:ff79010121717171
Perceptual Hash:ca38c5999cbc3c3c
Difference Hash:f1d115c1c5c9c1c5
Wavelet Hash:ff79010135757171
Color Hash:#d2799a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data