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Security Scan Report: sinarnovainsight-dpcve42xn35i.edgeone.app

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Submitted: Jun 29, 2026, 4:42:25 PMCompleted: Jun 29, 2026, 4:43:34 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 2 HTTP transactions. The main domain is sinarnovainsight-dpcve42xn35i.edgeone.app and was registered NaN years ago.

Submitted URL: https://sinarnovainsight-dpcve42xn35i.edgeone.app/a-man-named-dave-by-dave-pelzer.html

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

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

Risk Factors
Domain is unranked in Cisco Umbrella
Sub‑domain creation date unknown (could be brand‑new)
Hosted on a generic PaaS sub‑domain (edgeone.app)
High JavaScript obfuscation score (likely minified code)
Safety Factors
Absence of credential or payment collection forms
No malicious indicators (IoC, YARA, IDS alerts)
Content appears to be a legitimate article about a book
External resources are reputable (fonts.googleapis.com, statcounter.com, gettyimages.com)
Domain age information unavailable

Details

Page Title

A Man Named Dave by Dave Pelzer: Understanding the Impact

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(75%)

Domain Information

The domain 'sinarnovainsight-dpcve42xn35i.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'sinarnovainsight-dpcve42xn35i'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. It segments into 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://sinarnovainsight-dpcve42xn35i.edgeone.app/a-man-named-dave-by-dave-pelzer.html

Page Load Overview

2.60s
Total Load Time
17
HTTP Requests
13
Domains
86 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:2,198 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
75%
education learning
60%
adult content
56%
government public service
49%
social media network
40%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.67.150.240United States
AS13335Cloudflare, Inc.
218.66.112.70United States
AS16509Amazon.com, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
254.192.35.73United States
AS16509Amazon.com, Inc.
2172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
AS139341ACE
2172.217.208.95United States
AS15169Google LLC
177--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16372F927DEA061286B25004460E6B2FCBD3D8817EB828CF9F8FCB7299F44ADB5435755

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PnxqByhnYf8zX+dcU7f+GlM1Ih3F+WzP45m0m80Njag4n+BHvu:PQyhnz+dN7GG+IRT4QNjag4+B2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16064:CAneUAmJYNVGJCQCeqNMILsGEQDIAIg/oUkTHjCAYRcGAlUIIEkAQUUCgBIALDxKrGJgCECXaBQQmKCAEMGojMpIDKRE+EB8

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:3c1819011939393d
Perceptual Hash:8a38cf31d735c329
Difference Hash:6971310d69696169
Wavelet Hash:3d3d1901393d393d
Color Hash:#d279bb

Other Hashes

Crop Resistant:564600020000200e,6971310d69696169

Scan History

Scan history not available

Unable to load historical scan data