Security Scan Report: swift-azure-0yiafdeznm-u3cbv91aqz.edgeone.app

Submitted: Feb 27, 2026, 11:08:00 PMCompleted: Feb 27, 2026, 11:09:19 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is swift-azure-0yiafdeznm-u3cbv91aqz.edgeone.app and was registered NaN years ago.

Submitted URL: https://swift-azure-0yiafdeznm-u3cbv91aqz.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low JavaScript obfuscation (standard minification)
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Sorry ❤️

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

healthcare medical

(30%)

Domain Information

Domain 'swift-azure-0yiafdeznm-u3cbv91aqz.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'swift-azure-0yiafdeznm-u3cbv91aqz'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Splitting it apart reveals 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://swift-azure-0yiafdeznm-u3cbv91aqz.edgeone.app/

Page Load Overview

0.64s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:117 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical30% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
30%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD31FECF99F30A216297A5643EE7670A7870D00B590ED4043D4CABC48F8AE4A9C9729D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hah+4JCq5gRHvFAFHcTPyZTtJfVhMQ+63N+G8pnRRHiguRRoiHIRRoiguRRxiOd4:hz97aTtJoQtNx8pjiguEioEigutiOG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1762:IAEAAAAAUAAAAAAgAAAEgICAAAAAMgQAAACAJkQAAAAEIAACAAIAAQAEAAEAEAwAAAAAAAIIBQCCAAAAAKAAAAAAQAgACEAB

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:0000001818000000
Perceptual Hash:ccc63339ccce3331
Difference Hash:0000083010000000
Wavelet Hash:0c0c0c1c3f3f0f0f
Color Hash:#87c5c5

Other Hashes

Crop Resistant:0000083010000000

Scan History

Scan history not available

Unable to load historical scan data