Security Scan Report: macbahiahugo-zky39jw51p.edgeone.app

Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 20 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://macbahiahugo-zky39jw51p.edgeone.app/1138-aditya-roy-kapur-biography-history-age-weight-height-relationships.html

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

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

The site appears to be a low‑risk informational article; no phishing or malware indicators were found, though the subdomain is newly created and has a low reputation ranking.

Risk Factors (2)
High JavaScript obfuscation score (moderate risk)
Low domain reputation ranking
Safety Factors (5)
No forms or credential exfiltration
No malicious Indicators of Compromise
No JavaScript malware signatures
No network IDS alerts
Page type is an article about a public figure
Domain age information unavailable

Details

Page Title

Aditya Roy Kapur Biography, History, Age, Weight, Height, Relationships

Scan Type

public

Domain Name Analysis

Domain 'macbahiahugo-zky39jw51p.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'macbahiahugo-zky39jw51p'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Word splitting yields 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://macbahiahugo-zky39jw51p.edgeone.app/1138-aditya-roy-kapur-biography-history-age-weight-height-relationships.html

Page Load Overview

14.63s
Total Load Time
127 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:3,514 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
87%
blog personal website
83%
real estate property
79%
entertainment media
74%
social media network
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.66.169.241United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
2172.240.253.132United States
AS7979Servers.com, Inc.
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T111520A77A6402138FF22027B7441F6BC3E2AC405E3528D6869E8A72C46C66D7DBA9F45

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jUhnYf8zX+CkJKJ8J/cPEkxxgi4Kl2tiDYYrWag4MDw:jUhnz+C+JUPxSi50YrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14490:SFBEaACRuJdEhBAyE4ogMDJK0gCyzCInkQEQRlAgotIBo1GIFABAUAYAyRskSA7h/AojEgTmjJCgiRCQMmFtiAohYCQ0SGD1

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:3c20003c3c0000ff
Perceptual Hash:c343bc3dd312bc16
Difference Hash:c8c3c4c8c0d02000
Wavelet Hash:7e783c7c7c0000ff
Color Hash:#aa87c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data