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Security Scan Report: univebblog-dpol4t0ckg5e.edgeone.app

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Submitted: Jun 27, 2026, 12:26:07 AMCompleted: Jun 27, 2026, 12:27:16 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is univebblog-dpol4t0ckg5e.edgeone.app and was registered NaN years ago.

Submitted URL: https://univebblog-dpol4t0ckg5e.edgeone.app/19-cavendish-street-concord-west-nsw-2138.html

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

The site shows an informational article, has no forms or malicious indicators, and only weak reputation signals, resulting in a low‑risk classification.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain creation date is unknown (potentially brand‑new)
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript or network activity detected
Content appears to be informational about a local address
Domain age information unavailable

Details

Page Title

Exploring 19 Cavendish Street: Concord West's Evolving Neighborhood Hub

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(44%)

Domain Information

Domain 'univebblog-dpol4t0ckg5e.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'univebblog-dpol4t0ckg5e'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and 3 consonants. Breaking it apart gives 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://univebblog-dpol4t0ckg5e.edgeone.app/19-cavendish-street-concord-west-nsw-2138.html

Page Load Overview

1.49s
Total Load Time
13
HTTP Requests
11
Domains
297 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:2,545 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
44%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.108.68United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
2178.208.83.23Moscow, Moscow, Russia
AS13335
2172.240.127.244United States
AS7979Servers.com, Inc.
2142.251.127.95United States
AS15169Google LLC
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

T19452C533E981103833624559E592F3FCB668E017E346CCE5B8EDB329AFCA6D78475248

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jL6KGIHP3VomvPYf85ZEQV+XcQK1anbwF15NRzQryGgfroNjag4ooCFfpjvVX:7PhnYf8zX+XcqwpzQrNgToNjag4n+1R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14294:gDBsAYCYEwGBOax2hugBpZoATSGIBUYQGmRzKAEQTNbKIjkVIyDegivGQgToAAhEeJQBQGsCFAQhkEEEISECAmJ8jQ7FA1q1

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:e782ffff9f9f9f9f
Perceptual Hash:bce330b6e3c3c381
Difference Hash:0e36324230303034
Wavelet Hash:e7020e0e1e1f1f1f
Color Hash:#a1d22d

Other Hashes

Crop Resistant:0e36324230303034

Scan History

Scan history not available

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