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Security Scan Report: impressive-turquoise-qcskbmln9g-rg5435ya70.edgeone.app

Submitted: Feb 23, 2026, 12:57:08 AMCompleted: Feb 23, 2026, 12:58:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is impressive-turquoise-qcskbmln9g-rg5435ya70.edgeone.app and was registered NaN years ago.

Submitted URL: https://impressive-turquoise-qcskbmln9g-rg5435ya70.edgeone.app/

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

Unreachable page with no malicious indicators; classified as low risk.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise detected
Hosted on a known platform (edgeone.app) with standard hosting
Page title present but no content rendered
Domain age information unavailable

Details

Page Title

impressive-turquoise-qcskbmln9g-rg5435ya70.edgeone.app

Scan Type

public

Language

🇮🇳

GU

(80% confidence)

Category

healthcare medical

(37%)

Domain Information

Within the application-focused generic top-level domain (.app), 'impressive-turquoise-qcskbmln9g-rg5435ya70.edgeone.app' is registered, featuring subdomain 'impressive-turquoise-qcskbmln9g-rg5435ya70'. Count 7 characters in 'edgeone' holding four vowels versus 3 consonants. Breaking it apart gives 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://impressive-turquoise-qcskbmln9g-rg5435ya70.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇮🇳Gujarati
Code: gu
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:gu
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:gu
Text Length:240 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical37% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
37%
finance banking
36%
adult content
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszq2bMy8Old6:LhoC9JSqzzbs6o3Sj3gcrsm2eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184661:ChgMaIBYPsAAgEgKCB5BEGBJA4hEhUlKAzYUDjCFMIKGgpAsVAFQFBEKAOpIAeGCIQH8ASsIQwEwmNQQ0DwBAAAAvIQ1wiDA

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#783a4d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

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