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Security Scan Report: jagatnovasphere-dpa4iss0cpip.edgeone.app

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Submitted: Jun 16, 2026, 8:04:25 PMCompleted: Jun 16, 2026, 8:05:35 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/are-power-companies-owned-by-the-government.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low risk informational page; no concrete malicious signals detected.

Risk Factors
Low Cisco Umbrella ranking (455,732) – weak signal of suspiciousness
Subdomain on edgeone.app with unknown creation date
Safety Factors
Absence of credential or payment collection forms
No malicious IoC, YARA, or IDS detections
Content appears to be a generic informational article
Domain age information unavailable

Details

Page Title

Are Power Companies Owned by the Government? What Buyers Need to Know

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(92%)

Domain Information

The domain 'jagatnovasphere-dpa4iss0cpip.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'jagatnovasphere-dpa4iss0cpip'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Word splitting yields two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jagatnovasphere-dpa4iss0cpip.edgeone.app/are-power-companies-owned-by-the-government.html

Page Load Overview

1.83s
Total Load Time
13
HTTP Requests
10
Domains
158 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:4,947 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
92%
corporate business
54%
adult content
36%
corporate
35%
documentation technical
34%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
AS139341ACE
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2142.250.154.95United States
AS15169Google LLC
2198.252.98.110United States
AS20068Hawk Host Inc.
135--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
WordPress
75%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AA82192BA5D552287F32414AA690F7FDBE2C8416E30589E0B8DDB33CD781BCB6939744

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:phnYf8zX+VCx8CpI8JFFGc8soNjag4n+Xu:phnz+VClJ/GTNjag4++

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17887:RDCjiYalVE0AA6QGGaAIAMACJgQUJw6BmOYjeAQnaQBTMkAwIAgHqidAWzWohh7hFQQGIpogiApQQgMsQ6uqAAYIQ7ZREQCY

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:3c00003c007c6c7c
Perceptual Hash:c23cc3ceccd34c33
Difference Hash:e1d905d1c1c1c9d9
Wavelet Hash:7d01013d017f6d7d
Color Hash:#8640bf

Other Hashes

Crop Resistant:e1d907d1c1c1c9c9

Scan History

Scan history not available

Unable to load historical scan data