ScanMalware.com

Security Scan Report: aflamcityblog-dpc0h32zjdpb.edgeone.app

Site favicon
Submitted: Jun 21, 2026, 3:43:19 AMCompleted: Jun 21, 2026, 3:44:27 AMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is aflamcityblog-dpc0h32zjdpb.edgeone.app and was registered NaN years ago.

Submitted URL: https://aflamcityblog-dpc0h32zjdpb.edgeone.app/alex-pereira-son-age.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Legitimate article with low risk; no malicious activity detected.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
Absence of forms that collect credentials or payment data
No IoC or YARA matches
Content appears to be a legitimate informational article
Low Cisco Umbrella ranking is a weak signal without other malicious indicators
Domain age information unavailable

Details

Page Title

Understanding Alex Pereira's Son Age: Support for Families in Crisis

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(95%)

Domain Information

Domain 'aflamcityblog-dpc0h32zjdpb.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'aflamcityblog-dpc0h32zjdpb'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Segmentation suggests 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://aflamcityblog-dpc0h32zjdpb.edgeone.app/alex-pereira-son-age.html

Page Load Overview

1.39s
Total Load Time
13
HTTP Requests
11
Domains
24 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:2,487 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

healthcare medical
95%
government public service
94%
blog personal website
94%
download file sharing
90%
cryptocurrency blockchain
82%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.127.243United States
AS7979Servers.com, Inc.
2192.178.183.95United States
AS15169Google LLC
2172.240.108.84United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
235.214.114.251City of London, England, United Kingdom
AS15169Google LLC
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

T10062DA27AE80103866750259E581F6FCBE398427E742CCF0B5ADB324DBC2BDB4836759

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SGDhnYf8zX+RLc+xl6XCplQLGFmGQoNjag4n+e8:RDhnz+RLc+xumlQANjag4+T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14615:AYUMgAgRQCgjg7aGhCwGjQhieCYQIiwygAyCQQhFhFACCgAEAIK4JpAs0Fw5wAD8QAUoJtVgAosKGARBLoBS9gYnDwBaDBoQ

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:3979010171016d7d
Perceptual Hash:8a5cc99ccf3c3c34
Difference Hash:f1c10131c1c1d1c1
Wavelet Hash:197901017d7d617f
Color Hash:#ac5372

Other Hashes

Crop Resistant:f1c10131c1c1d1c1

Scan History

Scan history not available

Unable to load historical scan data