Security Scan Report: prestonrowletteblog-dpd6njl9wx2x.edgeone.app

Site favicon
Submitted: Jun 16, 2026, 9:54:12 PMCompleted: Jun 16, 2026, 9:57:00 PMpubliccompleted
Loading additional data...

Summary

This website contacted 26 IPs in 9 countries across 26 domains to perform 2 HTTP transactions. The main domain is prestonrowletteblog-dpd6njl9wx2x.edgeone.app and was registered NaN years ago.

Submitted URL: https://prestonrowletteblog-dpd6njl9wx2x.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Low risk site with no credential collection or brand impersonation; limited evidence of malicious activity.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking (#455,732)
Critical JavaScript obfuscation score (though not alone sufficient for high risk)
Safety Factors
No forms collecting credentials or payments
No brand impersonation in meta tags or content
No external malicious links or IoC matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

is public good for investing

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(62%)

Domain Information

Within the application-focused generic top-level domain (.app), 'prestonrowletteblog-dpd6njl9wx2x.edgeone.app' is registered; it also runs on subdomain 'prestonrowletteblog-dpd6njl9wx2x'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Word splitting yields two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://prestonrowletteblog-dpd6njl9wx2x.edgeone.app/

Page Load Overview

95.14s
Total Load Time
41
HTTP Requests
35
Domains
6.2 MB
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:1,912 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
62%
government public service
54%
corporate business
45%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16104.238.69.152United States
AS398787GoDaddy.com, LLC
1178.211.133.23Madrid, Madrid, Spain
AS56958Raiola Networks S.L.
1104.18.4.29United States
AS13335Cloudflare, Inc.
1217.160.0.29Germany
AS8560IONOS SE
1142.251.14.119United States
AS15169Google LLC
1104.20.16.109United States
AS13335Cloudflare, Inc.
1172.67.74.128United States
AS13335Cloudflare, Inc.
1192.0.77.3San Francisco, California, United States
AS2635Automattic, Inc
1172.67.150.240United States
AS13335Cloudflare, Inc.
1104.20.45.66United States
AS13335Cloudflare, Inc.
4126--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A3B2F877D7C8063A5B8242C2618077ECA45F6E0AED63C9F6B0A777069BCEDC68911417

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWLhnYf8zX+h92jrPh8GgsacPyz7rMazUL7x5orWag4MVJA:ZWLhnz+HMJHPJwrWag4W2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24408:wGMpgIKBAEUGIHA1p9ihMZSCciAEC1YsxEQEI8iKBCNAQArbECRMMkGRBA6gEGCMEABAgsB6k8PH0wBRC0GKBECgCw6hQ2BK

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:ffffffc38183c1c1
Perceptual Hash:ed92c33c3cc39e12
Difference Hash:1a1a003333331333
Wavelet Hash:cfffff8181818181
Color Hash:#8a53ac

Scan History

Scan history not available

Unable to load historical scan data