Security Scan Report: picoiumhugo-n37mpymvzy.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 13 domains to perform 20 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://picoiumhugo-n37mpymvzy.edgeone.app/2097-jay-mehta-net-worth-income-salary-earnings-biography-how-much-money-make.html

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

AI Security Verdict

Low Risk

Confidence: 60%

2
Risk Score

Low risk site with no malicious indicators; safe to browse but subdomain age is unknown.

Risk Factors (2)
Unknown subdomain creation date
Low domain ranking
Safety Factors (4)
No forms or payment fields present
No credential exfiltration detected
Page marked as article (og:type) – not impersonating a brand
No malicious Indicators of Compromise or IDS alerts
Domain age information unavailable

Details

Page Title

Jay Mehta Net Worth, Income, Salary, Earnings, Biography, How much money make?

Scan Type

public

Domain Name Analysis

Domain 'picoiumhugo-n37mpymvzy.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'picoiumhugo-n37mpymvzy'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://picoiumhugo-n37mpymvzy.edgeone.app/2097-jay-mehta-net-worth-income-salary-earnings-biography-how-much-money-make.html

Page Load Overview

12.01s
Total Load Time
173 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:1,736 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
75%
adult content
72%
entertainment media
70%
finance banking
48%
government public service
46%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.240.127.234United States
AS7979Servers.com, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2142.251.13.94United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.110.95United States
AS15169Google LLC
208--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C52D717BF8A0538AB6112D99582F37CBC28A017D7D388B8ACE4B77686C66C31477684

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZG4hnYf8zX+2eJKJgJ/cJ8VC/IYYrWag4MDw:Y4hnz+20JUSyYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13378:TelBE0kQ4IAkYnAk3MAoE1uqoUYIYZDKRDVAEGjAwENDhCCFIIIwUYRDAJCqFRQBQCaYGEQHjZtCoSaSIokgCURQaLCBWScS

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:81cf8381c7ffffff
Perceptual Hash:bc38d392356943d3
Difference Hash:1f36032f2e002000
Wavelet Hash:008f818183ffffc2
Color Hash:#931f7e

Other Hashes

Crop Resistant:1f36032f2e002000

Scan History

Scan history not available

Unable to load historical scan data