Security Scan Report: jagatnovasphere-dpa4iss0cpip.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 10 domains to perform 13 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://jagatnovasphere-dpa4iss0cpip.edgeone.app/buy-swiss-re-shares-online.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 appears to be an informational article with no phishing, malware, or credential‑harvesting elements; risk is low.

Risk Factors (2)
Sub‑domain creation date unknown (could be newly created)
Low Cisco Umbrella ranking (455,732) for a domain mentioning a major brand
Safety Factors (4)
No credential or payment collection forms
No brand impersonation – article format reports on Swiss Re
No malicious external links or suspicious network activity
No IDS/Suricata alerts or YARA malware detections
Domain age information unavailable

Details

Page Title

Buy Swiss Re Shares Online: A Simple Guide for Investors

Scan Type

public

Domain Name Analysis

The domain 'jagatnovasphere-dpa4iss0cpip.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'jagatnovasphere-dpa4iss0cpip'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Splitting it apart reveals 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jagatnovasphere-dpa4iss0cpip.edgeone.app/buy-swiss-re-shares-online.html

Page Load Overview

2.28s
Total Load Time
155 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:3,210 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
57%
technology software
55%
finance banking
53%
e-commerce shopping
52%
education learning
38%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
513.33.187.93New York, New York, United States
AS16509Amazon.com, Inc.
2172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2142.251.110.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
135--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11562D62BBA91152C6F23404679D2B7FCBE5D941BE742CCF0B8D8B328ABD06CB5975244

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:nMhnYf8zX+/WXM5tx8nh4bdGfqSC5QpvcW2IVI/uGLj3ZqzHZcJuoNjag4n+U2:Mhnz+/1KNrqJNjag4+/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15837:Fajo0ocAIFAqmKOiAEUgDgUIAHKAahBMAcUAAkRUgQizAAsQwGHMeAkIBQA5BEDqpBYWACM4KApQ0SePIMigRjYHVUGLABUK

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:79000000217d797d
Perceptual Hash:c23cc7c69ecc8636
Difference Hash:e1d105d1c9c1c1c1
Wavelet Hash:7901013d617d797d
Color Hash:#6cc9e0

Other Hashes

Crop Resistant:e1d105d1c9c1c1c9

Scan History

Scan history not available

Unable to load historical scan data