Security Scan Report: jagatnovasphere-dpa4iss0cpip.edgeone.app

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Submitted: Jun 28, 2026, 5:11:54 AMCompleted: Jun 28, 2026, 5:13:02 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 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/dividende-2024-swiss-re.html

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site is an informational article with no credential collection or malicious indicators; low risk.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Domain age unknown (subdomain on edgeone.app)
Hosted on a generic PaaS subdomain
Safety Factors
No forms collecting credentials or payments
No external malicious resources or IDS alerts
Content appears to be a news/article about Swiss Re dividend
No obfuscation linked to malicious behavior
Domain age information unavailable

Details

Page Title

Swiss Re Dividend 2024: What Investors Should Know

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(66%)

Domain Information

Within the application-focused generic top-level domain (.app), 'jagatnovasphere-dpa4iss0cpip.edgeone.app' is registered; it also runs on subdomain 'jagatnovasphere-dpa4iss0cpip'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Splitting it apart reveals 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://jagatnovasphere-dpa4iss0cpip.edgeone.app/dividende-2024-swiss-re.html

Page Load Overview

1.70s
Total Load Time
13
HTTP Requests
10
Domains
587 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:4,382 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
66%
blog personal website
58%
social media network
57%
adult content
56%
finance banking
56%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
2172.67.150.240United States
AS13335Cloudflare, Inc.
2146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2142.251.14.95United States
AS15169Google LLC
2172.240.108.68United States
AS7979Servers.com, Inc.
135--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB72C837969551393E232047B992B2FCBE3C842BD342CDE174E9A32897897C7557B2C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:zmhnYf8zX+oKarW4Y9Fx8zCSnQSNCbHqVZyyVSjPSgA7V4rH9VHc7SDGe7RFeS19:Chnz+L/bs3l24tNjag4++

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16742:STkPRgGFI9V0QAKDWUwoOFg5AlhJVAgsyDsEA0IAAJAAiFJKkORKShckgChJoKvBcABBAoScMhJyFhxCCASoqIQEAjONUDSg

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:39000000217c7c7d
Perceptual Hash:c23cc7c6ce8cc63c
Difference Hash:e1c109d1c1c1c1c1
Wavelet Hash:7901013d217d7d7d
Color Hash:#53bf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data