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Security Scan Report: jagatnovasphere-dpa4iss0cpip.edgeone.app

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Submitted: Jun 27, 2026, 12:56:42 AMCompleted: Jun 27, 2026, 12:57:50 AMpubliccompleted
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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/contact-swiss-airlines-customer-service.html

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows no credential or payment collection, no malware indicators, and appears to be an informational article; risk is low despite being unranked and of unknown age.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1 M)
Sub‑domain creation date unknown (could be brand‑new)
Safety Factors
Absence of forms that collect credentials or payment data
No malicious network or IDS alerts
Content appears to be informational (article) rather than a phishing login page
Domain age information unavailable

Details

Page Title

How to Contact Swiss Airlines Customer Service: Tips, Times, and Where to Go

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(88%)

Domain Information

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 four vowels alongside three consonants. Segmentation suggests 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/contact-swiss-airlines-customer-service.html

Page Load Overview

1.66s
Total Load Time
13
HTTP Requests
10
Domains
241 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:3,305 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
88%
government public service
85%
documentation technical
56%
travel tourism
38%
corporate business
38%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.67.150.240United States
AS13335Cloudflare, Inc.
2104.26.6.2United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.108.84United States
AS7979Servers.com, Inc.
2142.251.127.95United States
AS15169Google LLC
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

T19272F627E58452345B2202527992B7FCFE2EC41BD31AACB4B4E9F329D7C97DB4432648

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:phnYf8zX+h5UonUoRUo5x8kDkFieUonpLEIoVSJToNjag4n+fl:phnz+h5UCU6UOBDk0eUaFx60UNjag4+d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16249:Eg0WYkWVlcAHUPAWTowIMCJTBFggZAUBQYGIGEAQgkA+DSAM4HKASlFRVAIJBwBhGUAVgmciYCAYBJQKbqKBJ4RgKZ0ZEGBO

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:3000000000307878
Perceptual Hash:cb36c93698cd34c9
Difference Hash:e1d105d9c1c5d3d3
Wavelet Hash:7d01017d31797979
Color Hash:#2d863e

Other Hashes

Crop Resistant:ea69692579715157,e1d107d9c1c5d3d3

Scan History

Scan history not available

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