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Security Scan Report: antifazonlineblog-dpso1w19jbsi.edgeone.app

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Submitted: Jun 28, 2026, 8:02:49 AMCompleted: Jun 28, 2026, 8:03:57 AMpubliccompleted
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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 antifazonlineblog-dpso1w19jbsi.edgeone.app and was registered NaN years ago.

Submitted URL: https://antifazonlineblog-dpso1w19jbsi.edgeone.app/andrew-tan-business.html

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Low‑risk article page; no malicious indicators detected despite unknown subdomain age.

Risk Factors
Subdomain on edgeone.app with unknown creation date
Domain is unranked in Cisco Umbrella
Safety Factors
Absence of forms that collect credentials or payment data
No malicious JavaScript behavior or exfiltration observed
Content appears to be a standard informational article
Domain age information unavailable

Details

Page Title

Insights into Andrew Tan's Business Success Stories

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(45%)

Domain Information

Domain 'antifazonlineblog-dpso1w19jbsi.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'antifazonlineblog-dpso1w19jbsi'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Tokenizing the label suggests 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://antifazonlineblog-dpso1w19jbsi.edgeone.app/andrew-tan-business.html

Page Load Overview

1.84s
Total Load Time
13
HTTP Requests
11
Domains
99 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:1,895 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
45%
adult content
44%
corporate
35%
blog personal website
33%
phishing scam
27%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.21.0.120United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.127.243United States
AS7979Servers.com, Inc.
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
136--

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

T10252D717BA90353C3B22014695D1BAFCFD69C01BE781CDA0B8DDB3359BC56DB4AA1788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:a4hnYf8zX+uF58B697J8av7/3AaUoNjag4n+wy:a4hnz+uF58B697LDLRNjag4+p

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14104:YByPRg2AEVgASrBOwhQJEVjeIBGAYjEswAEFYSEEipoAUAxcoEQESyGQcAHYYFxgACEEAwiEuEA4Fu0agLKwEJRgGYUJGAM4

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:30000000007c7c7c
Perceptual Hash:c22cc6c3a6cf863e
Difference Hash:e1d129d1c9d1d1d1
Wavelet Hash:7901013d017d7d7f
Color Hash:#86442d

Other Hashes

Crop Resistant:e1d129d1c9d1d1d1

Scan History

Scan history not available

Unable to load historical scan data