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Security Scan Report: sick-violet-rijnm1wdsk-ysy5w1fbhg.edgeone.app

Submitted: Apr 27, 2026, 4:49:13 PMCompleted: Apr 27, 2026, 4:50:21 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 sick-violet-rijnm1wdsk-ysy5w1fbhg.edgeone.app and was registered NaN years ago.

Submitted URL: https://sick-violet-rijnm1wdsk-ysy5w1fbhg.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: 70%

4
Risk Score

The site shows moderate suspicion due to its brand‑new subdomain on a hosting platform and low domain ranking, but lacks any malicious payloads or credential collection.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking
Safety Factors
No malicious Indicators of Compromise detected
No JavaScript malware patterns
No network IDS alerts
No credential exfiltration or suspicious scripts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

healthcare medical

(87%)

Domain Information

Domain 'sick-violet-rijnm1wdsk-ysy5w1fbhg.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'sick-violet-rijnm1wdsk-ysy5w1fbhg'. 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 comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sick-violet-rijnm1wdsk-ysy5w1fbhg.edgeone.app/

Page Load Overview

0.42s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:56 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

healthcare medical87% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
87%
documentation technical
40%
government public service
34%
news media journalism
25%

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

T17702C6CAEBA305C9A82BC0682FFF5724222DE057C849CD5DB99E5F548F0518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBhh1RaXQl:KrzhNK/lMHmGgdkqed

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8707:ICUC1nISBQc0NBUcAU2whAAiSACGDQRBMFALCAACiHKQJIEMAMR0wxLAKYdCgNaAgzicVQKmSkBahCjFOAIOSCoCOCaWIBEl

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030200000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#2d8086

Other Hashes

Crop Resistant:3030200000000000

Scan History

Scan history not available

Unable to load historical scan data