Security Scan Report: manzanohousehugo-yexcy58alr.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 23 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://manzanohousehugo-yexcy58alr.edgeone.app/12411-can-people-with-a-felony-conviction-buy-a-house.html

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

AI Security Verdict

Low Risk

Confidence: 73%

2
Risk Score

The site appears to be a low‑risk informational article with no forms or malicious indicators, though the subdomain age is unknown.

Risk Factors (2)
Unknown subdomain age
Low domain ranking (unranked in Cisco Umbrella top 10K)
Safety Factors (5)
Page type is article (og:type=article) – no phishing intent
No forms or credential fields
No malicious external links or IoC matches
No credential exfiltration observed in JavaScript behavior
Hosting platform subdomain without suspicious activity
Domain age information unavailable

Details

Page Title

Can people with a felony conviction buy a house?

Scan Type

public

Domain Name Analysis

The domain 'manzanohousehugo-yexcy58alr.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'manzanohousehugo-yexcy58alr'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. It segments into two 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://manzanohousehugo-yexcy58alr.edgeone.app/12411-can-people-with-a-felony-conviction-buy-a-house.html

Page Load Overview

18.48s
Total Load Time
221 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:9,027 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
64%
government public service
47%
finance banking
36%
corporate
35%
blog personal website
34%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.20.7.223United States
AS13335Cloudflare, Inc.
3104.20.23.96United States
AS13335Cloudflare, Inc.
3172.240.108.84United States
AS7979Servers.com, Inc.
3104.21.0.120United States
AS13335Cloudflare, Inc.
343.152.26.58Singapore
3192.178.183.95United States
AS15169Google LLC
3142.251.14.94United States
AS15169Google LLC
237--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA92FA1BF788232C3E37065176C2B7EE3E699039C38589E07875A72947E6AD745236CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZG4hnYf8zX+PZJKJiJ/cK8/H0ewZtr8cOgIdRM5YYrWag4MDw:Y4hnz+P3JUDUpr8cOgI0qYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20807:YEpBRMgJIIKCIFFAYAUAAyIJhFJIsYEA6K8LNhzjy2UxhBxIwAAhItcEGkQNEQGAQEYcIgLIIIAGooyYkwIEAUE2ANQKBTdU

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:cfdfd383c3c383c3
Perceptual Hash:bd9293327369c1e2
Difference Hash:1e3826270f372322
Wavelet Hash:cf8fc383c38383c3
Color Hash:#ac6553

Other Hashes

Crop Resistant:1e3826270f372322

Scan History

Scan history not available

Unable to load historical scan data