Security Scan Report: jagatnovasphere-dpa4iss0cpip.edgeone.app

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Submitted: Jun 23, 2026, 12:36:51 AMCompleted: Jun 23, 2026, 12:38:00 AMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 14 domains to perform 2 HTTP transactions. The main domain is jagatnovasphere-dpa4iss0cpip.edgeone.app and was registered NaN years ago.

Submitted URL: https://jagatnovasphere-dpa4iss0cpip.edgeone.app/b-stock-yahoo-dividendes.html

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The page is an informational article with no malicious forms or indicators; overall low risk.

Risk Factors
Subdomain on edgeone.app with unknown creation date
Low Cisco Umbrella ranking (455,732) for the domain
Safety Factors
Absence of forms that collect passwords, emails, or payment data
No malicious external links or suspicious external domains delivering payloads
Content appears to be a generic informational article
Domain age information unavailable

Details

Page Title

Practical Guide to Using B Stock Yahoo Dividendes for Smarter Investing

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(59%)

Domain Information

You're looking at domain 'jagatnovasphere-dpa4iss0cpip.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'jagatnovasphere-dpa4iss0cpip'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 consonants. It segments into 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://jagatnovasphere-dpa4iss0cpip.edgeone.app/b-stock-yahoo-dividendes.html

Page Load Overview

2.05s
Total Load Time
39
HTTP Requests
20
Domains
14.2 MB
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:6,955 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
59%
corporate business
36%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13172.240.127.242United States
AS7979Servers.com, Inc.
2108.138.26.69United States
AS16509Amazon.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.127.95United States
AS15169Google LLC
2185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
2104.26.4.133United States
AS13335Cloudflare, Inc.
252.222.136.57United States
AS16509Amazon.com, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
218.245.86.15United States
AS16509Amazon.com, Inc.
3914--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164C22A1BBBD123151E280295648EB7FCFE5B4416C7238AB07CACB35687C42FF94A6568

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5hnz+dbYE4Qa/4nkYMTkk1o4704qiO9l43Zy2x4WcA2Njag4+3:srM4nCTto4704qNn43ZNx4WcjNjag4+3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28185:GQyMy4klAJygAjxAnDSEKpCJmyCBYDZoAQXECCCAgdAg4ECEgUWQUGuMgSJBAhDAVZIQoIYIOCIAHIYjCxAYQQF4BBhJC1Mo

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:39000030207c7c7c
Perceptual Hash:c239c7c7cdc6862c
Difference Hash:e1d105d1c1c9c5c1
Wavelet Hash:7d01013d017d7d7d
Color Hash:#863d2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data