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Security Scan Report: insmoksitus-dpn3hanzk477.edgeone.app

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Submitted: Jun 17, 2026, 8:32:22 AMCompleted: Jun 17, 2026, 8:33:33 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is insmoksitus-dpn3hanzk477.edgeone.app and was registered NaN years ago.

Submitted URL: https://insmoksitus-dpn3hanzk477.edgeone.app/alex-pereira-weight-training.html

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

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Low‑risk informational article with no malicious indicators detected.

Risk Factors
Subdomain on hosting platform (.edgeone.app) with unknown creation date
Low Cisco Umbrella ranking (455,732) for the domain
Safety Factors
Absence of forms that collect credentials or payment data
No malicious IoC, YARA, or IDS detections
Content appears to be a standard informational article
Domain age information unavailable

Details

Page Title

Alex Pereira's Weight Training: Pros, Trade-offs, and Realistic Expectations

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(81%)

Domain Information

You're looking at domain 'insmoksitus-dpn3hanzk477.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'insmoksitus-dpn3hanzk477'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://insmoksitus-dpn3hanzk477.edgeone.app/alex-pereira-weight-training.html

Page Load Overview

1.73s
Total Load Time
13
HTTP Requests
10
Domains
50 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:2,463 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
81%
blog personal website
81%
government public service
78%
documentation technical
78%
education learning
73%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.21.0.120United States
AS13335Cloudflare, Inc.
2104.26.9.96United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2142.251.14.95United States
AS15169Google LLC
2172.240.127.234United States
AS7979Servers.com, Inc.
135--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C62D727B9C16128A632125FF5C5B3FCBA79C426E3418CB0B6A8E325CBC6BC75471359

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SGnhnYf8zX+bHuwocl6ShH7vhb5oC6Uag49UEp:Rnhnz+bHuwocPhH7hqC6Uag4mw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14585:CVURAR3GB3zoXeKMzEtKVAgLHAGRyBgA0RIEEBIGQJAICRAMENgKZ4HIUBFRFkYxNhsCCFAVQIoqIgIyjA+A0a+GGZi21KgQ

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:1828000010007870
Perceptual Hash:c239c639ce383ecc
Difference Hash:f1c90149c159c1c5
Wavelet Hash:197d01017d797d71
Color Hash:#613a78

Other Hashes

Crop Resistant:fefae0c000040404,7872757128c94bd9,f1c90149c159c1c5

Scan History

Scan history not available

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