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Security Scan Report: jagatnovasphere-dpa4iss0cpip.edgeone.app

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Submitted: Jun 21, 2026, 5:55:50 AMCompleted: Jun 21, 2026, 5:56:58 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/contact-number-for-swiss-airlines.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk informational article about Swiss Airlines contact numbers; no phishing, malware, or credential harvesting observed.

Risk Factors
Low domain ranking
Unknown sub‑domain creation date
Safety Factors
No forms collecting credentials or payments
Article‑type page (informational)
No malicious JavaScript or network activity detected
Domain age information unavailable

Details

Page Title

Contact Number for Swiss Airlines: Quick & Reliable Support

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(42%)

Domain Information

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 3 consonants. It segments into two 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-number-for-swiss-airlines.html

Page Load Overview

1.74s
Total Load Time
13
HTTP Requests
10
Domains
646 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:2,827 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
42%
corporate
35%
social media network
28%
cryptocurrency blockchain
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2142.251.13.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
2172.240.108.76United States
AS7979Servers.com, Inc.
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

T1CC62D737E68011286B2202467191B7FDBA6D8027E341DCF4B8F9B338D7CA7CB54B6954

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:RPhnYf8zX+iuSk4X9DQx8RdFQZ/6ccXU45oNjag4n+nb:lhnz+VzcB3XZqNjag4+b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15153:aAAERocJhGYBCiRSEAULbigDIDAAUgyCgQFNQY8A5PIUkQBFh7QwGMkXYAoIBQAQSBisIIcTJkAjAMyOE4CMAlRkBKALEF5Z

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:39000000217d797e
Perceptual Hash:c239c6c996cd962d
Difference Hash:e1d125d1c9c1c1ed
Wavelet Hash:7901013d017d7d7f
Color Hash:#ac5372

Other Hashes

Crop Resistant:e1d125d1c9c1c1ec

Scan History

Scan history not available

Unable to load historical scan data