Security Scan Report: smlparkhomessitus-dpacotmvxte9.edgeone.app

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Submitted: Jun 21, 2026, 1:15:17 PMCompleted: Jun 21, 2026, 1:16:26 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is smlparkhomessitus-dpacotmvxte9.edgeone.app and was registered NaN years ago.

Submitted URL: https://smlparkhomessitus-dpacotmvxte9.edgeone.app/a-boy-called-it-dave-pelzer.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

The page appears to be a benign article with no malicious indicators; it is low risk.

Risk Factors
Subdomain on edgeone.app with unknown creation date
Safety Factors
Absence of forms that collect credentials or payment data
No malicious JavaScript behavior or exfiltration observed
No external threat intelligence hits
Domain age information unavailable

Details

Page Title

A Boy Called It by Dave Pelzer: Common Mistakes and Better Ways to Read It

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(88%)

Domain Information

You're looking at domain 'smlparkhomessitus-dpacotmvxte9.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'smlparkhomessitus-dpacotmvxte9'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Word splitting yields 2 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://smlparkhomessitus-dpacotmvxte9.edgeone.app/a-boy-called-it-dave-pelzer.html

Page Load Overview

1.98s
Total Load Time
13
HTTP Requests
11
Domains
145 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:4,542 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
88%
government public service
78%
news media journalism
74%
documentation technical
46%
blog personal website
39%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.108.68United States
AS7979Servers.com, Inc.
2172.217.208.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
2104.86.146.55Hamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
136--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166721C779BD1122867220145A5C676FCFE39C42BE7838DF074ADF3256B89ACB9432784

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PnxqB1zvhnYf8zX+d/mzv4zK3zVfIPzGKzHS8V/G48r66gzq80C6Uag49URQ:PQ1zvhnz+d/mzv4zK3zVfIPzGsHS8dGX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17019:FBBayAg2YAQ6IQODESMaBQAa2QRqBAAErsVpkALRxgMgSJHQUCSpEwzhxFgATYkgFFVIhg+EFAghuJAEaMEIdGJHBiFEJSoA

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:3d3d19013d393d3d
Perceptual Hash:8a3ccfb22237798c
Difference Hash:6971710d69416161
Wavelet Hash:3d3d19013d313d3d
Color Hash:#79d2bc

Other Hashes

Crop Resistant:6971710d69416161

Scan History

Scan history not available

Unable to load historical scan data