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Security Scan Report: tense-gray-fh1ksp9wrz-yfte3fy16j.edgeone.app

Submitted: Feb 28, 2026, 1:09:18 PMCompleted: Feb 28, 2026, 1:10:46 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is tense-gray-fh1ksp9wrz-yfte3fy16j.edgeone.app and was registered NaN years ago.

Submitted URL: https://tense-gray-fh1ksp9wrz-yfte3fy16j.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

Site shows no malicious indicators but subdomain is new on a low‑reputation hosting platform.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low Cisco Umbrella ranking (455,732) indicating limited reputation
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware detected
No network IDS alerts
Standard hosting (not IPFS or cloud storage)
Domain age information unavailable

Details

Page Title

Sorry Gauri 💖

Scan Type

public

Language

🇪🇪

ET

(29% confidence)

Category

healthcare medical

(38%)

Domain Information

You're looking at domain 'tense-gray-fh1ksp9wrz-yfte3fy16j.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'tense-gray-fh1ksp9wrz-yfte3fy16j'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. Breaking it apart gives 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tense-gray-fh1ksp9wrz-yfte3fy16j.edgeone.app/

Page Load Overview

0.89s
Total Load Time
6
HTTP Requests
3
Domains
28 KB
Total Size

Language Analysis

Primary Language

🇪🇪ET
Code: et
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:et
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:en
Text Length:180 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as et

Website Classification

Primary Category

healthcare medical38% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
38%
adult content
32%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.217.20.131Singapore
AS15169
2142.251.140.170Singapore
AS139341
243.152.26.58Singapore
AS139341ACE
63--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10DC1FFAA95132401B20F8991772707B978BC0947FA5BA83433BDB3456FC6C799B133B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TiSg0+/tlV+U1vSMkluLfqry7MFSn4RMRZ6RkVRxYRQVRDHRlRMRuRkRyRs9lRG4:uSg0+zV+U1v8l+fq+7Msn4RMRZ6RkVRe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6037:gguIxQABQQAgAgO1ABgAFAkgQGiMpAkKhAYITAUkFBAEWAiAIBUAUHEAAZw6sDMgMAQCYKAsCEQDEolBAoKBgEQCagAwJIoK

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:0018181818181800
Perceptual Hash:99b366cc6299cccc
Difference Hash:e0f0b2b2b2b2b2cc
Wavelet Hash:7e7e7e7e3c181800
Color Hash:#3a7848

Other Hashes

Crop Resistant:e0f0b2b2b2b2b2cc

Scan History

Scan history not available

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