Security Scan Report: antifazonlineblog-dpso1w19jbsi.edgeone.app

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Submitted: Jun 23, 2026, 8:39:00 PMCompleted: Jun 23, 2026, 8:40:08 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 8 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/

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Page references Apple but lacks phishing or malware indicators; moderate risk due to unknown subdomain age and low reputation.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation rank
Brand name (Apple) appears in title/meta without official claim
Presence of third‑party analytics scripts
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript patterns detected
No network IDS alerts or known IoCs
Content appears to be a generic news/blog page
Domain age information unavailable

Details

Page Title

cape fear apple tv release date

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(55%)

Domain Information

Domain 'antifazonlineblog-dpso1w19jbsi.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'antifazonlineblog-dpso1w19jbsi'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. It segments into two 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://antifazonlineblog-dpso1w19jbsi.edgeone.app/

Page Load Overview

1.46s
Total Load Time
32
HTTP Requests
13
Domains
557 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:4,264 chars
Detector Agreement:60%

Website Classification

Primary Category

healthcare medical55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
55%
entertainment media
54%
documentation technical
43%
news media journalism
32%
education learning
29%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7101.33.10.10Frankfurt am Main, Hesse, Germany
5142.251.13.95United States
AS15169Google LLC
5150.171.28.10United States
AS8075Microsoft Corporation
5150.171.27.10United States
AS8075Microsoft Corporation
5104.21.0.120United States
AS13335Cloudflare, Inc.
5172.240.108.76United States
AS7979Servers.com, Inc.
326--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190C2096656D84F3A525213837040BEBCF86FDD47EB7788F1A1AB338587C2DE39912062

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:chnYf8zX+HOJ88yLZZ3aS2/XEX85CeVy04eoNjag4n+C8J:chnz+HO2ZZ3atXEXGCeJ4rNjag4+CS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27787:JBAQ5pFMYoEgAD5yBHVucRGhwYAgQsiwQAKwBMkA83EYRIxJl6AqGEkAAoA4AQgoRBUzKUYwBElwAIwDGcQGERAcxKjq16Ai

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:3100016169796979
Perceptual Hash:c23e9ec7c1c21ee1
Difference Hash:61e529d1d1d1d1d1
Wavelet Hash:3d01017979797979
Color Hash:#2d3c86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data