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Security Scan Report: jagatnovasphere-dpa4iss0cpip.edgeone.app

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Submitted: Jun 27, 2026, 8:53:26 PMCompleted: Jun 27, 2026, 8:54:35 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 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/customer-relations-officer-vline.html

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Informational article with no malicious indicators; low risk.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain on a hosting platform with unknown creation date
Safety Factors
Absence of forms that collect credentials or payment data
No malicious JavaScript behavior or external command‑and‑control activity
Content appears to be a generic informational article
Domain age information unavailable

Details

Page Title

What Does a Customer Relations Officer Vline Do? A Beginner’s Guide

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(84%)

Domain Information

The domain 'jagatnovasphere-dpa4iss0cpip.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'jagatnovasphere-dpa4iss0cpip'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Tokenizing the label suggests two 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/customer-relations-officer-vline.html

Page Load Overview

1.68s
Total Load Time
13
HTTP Requests
10
Domains
163 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:3,303 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
84%
government public service
61%
education learning
58%
adult content
45%
cryptocurrency blockchain
45%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.240.108.68United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.110.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2147.135.65.146Oakton, Virginia, United States
AS16276OVH SAS
135--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12662E813AAE515382EA30257B485B7FCBC3DC41BE362CDE4B89A7728DBC16DB1471244

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:khnYf8zX+yGcznWx8qQL/g2NlJoNjag4n+2G:khnz+yGcznW/KXMNjag4+F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15504:CFsuEg8aLs8SQ3AbkgxAMAGwLiSQSAQiACkGBowDiUKDRoAioECICNEQIAsIpCAAkRAXCANAclS0VDUuMdzHMMZgYiYZgEII

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:39000020317c7c7c
Perceptual Hash:c23dc7cace86c62c
Difference Hash:e1d125c9c1c1c5c5
Wavelet Hash:7901013d217d7d7d
Color Hash:#63ac53

Other Hashes

Crop Resistant:e1d125c9c1c1c5c5

Scan History

Scan history not available

Unable to load historical scan data