ScanMalware.com

Security Scan Report: newdizaynartblog-dp8oxpvgw1xl.edgeone.app

Site favicon
Submitted: Jun 20, 2026, 6:07:39 PMCompleted: Jun 20, 2026, 6:08:47 PMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is newdizaynartblog-dp8oxpvgw1xl.edgeone.app and was registered NaN years ago.

Submitted URL: https://newdizaynartblog-dp8oxpvgw1xl.edgeone.app/alex-pereira-glory-kickboxing.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

Low‑risk informational article with no malicious signals detected.

Risk Factors
Low domain ranking (455,732) in Cisco Umbrella
Subdomain on hosting platform (.edgeone.app) with unknown creation date
Safety Factors
No credential collection or payment forms
No malicious indicators (IoC, YARA, IDS)
Content appears to be a legitimate article about a sports figure
JavaScript obfuscation score high but attributed to normal minification
Domain age information unavailable

Details

Page Title

Alex Pereira's Glory Kickboxing Career Highlights

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(95%)

Domain Information

Domain 'newdizaynartblog-dp8oxpvgw1xl.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'newdizaynartblog-dp8oxpvgw1xl'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Splitting it apart reveals 2 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://newdizaynartblog-dp8oxpvgw1xl.edgeone.app/alex-pereira-glory-kickboxing.html

Page Load Overview

1.40s
Total Load Time
13
HTTP Requests
11
Domains
1.1 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:2,034 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
95%
blog personal website
82%
documentation technical
80%
phishing scam
75%
adult content
74%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3164.138.217.157Bulgaria
AS201200SuperHosting.BG Ltd.
2142.250.154.95United States
AS15169Google LLC
2172.240.127.243United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
AS139341ACE
2172.240.108.84United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
136--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
WordPress
75%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D452D567FBC551386732015AA585B2FC7A78CC0BA7528CF070AC6369D7CABD754F2288

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3hnYf8zX+mrS8eyJhGINOXAoNjag4n+yAs:3hnz+mrqyORdNjag4+m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14223:QiBMB5UlDEYQCKEHAQbAUYCBQgLsQQClDyMEo8GoxIQAQkIQoCAoGgGABoFKCuXiSaiW4LwbIKBAmAwKS5msIBSCCQINAqAI

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:2000000000007c7c
Perceptual Hash:c23dc22dccc33cd3
Difference Hash:e1c509e1c1d5c9d1
Wavelet Hash:7901013d217d7d7d
Color Hash:#d2799a

Other Hashes

Crop Resistant:b38c0f2b71337145,71f08aaab2aab284,e1c509e1c1d5c9d1,16334db273f0f28e

Scan History

Scan history not available

Unable to load historical scan data