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Security Scan Report: yawning-rose-ipzcipky5y-dzn5xh2ao4.edgeone.app

Submitted: Mar 25, 2026, 2:58:23 AMCompleted: Mar 25, 2026, 2:59:43 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is yawning-rose-ipzcipky5y-dzn5xh2ao4.edgeone.app and was registered NaN years ago.

Submitted URL: https://yawning-rose-ipzcipky5y-dzn5xh2ao4.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: 85%

3
Risk Score

No malicious activity detected; page is a simple holiday greeting with moderate suspicion due to new subdomain.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Page appears to be a simple holiday greeting
Domain age information unavailable

Details

Page Title

Sungkeman Idul Fitri

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

healthcare medical

(41%)

Domain Information

Domain 'yawning-rose-ipzcipky5y-dzn5xh2ao4.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'yawning-rose-ipzcipky5y-dzn5xh2ao4'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Splitting it apart reveals 2 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://yawning-rose-ipzcipky5y-dzn5xh2ao4.edgeone.app/

Page Load Overview

0.62s
Total Load Time
5
HTTP Requests
3
Domains
45 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:jv
Text Length:108 chars
Detector Agreement:100%
Language mismatch: Declared as jv but detected as id

Website Classification

Primary Category

healthcare medical41% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
41%
travel tourism
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
1142.250.187.227United States
AS15169Google LLC
1172.217.16.170United States
AS15169Google LLC
53--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D15197875BC300197C427AF02B5E811A71ECE11B6B44EE68BF5D73218FC51496AA1D9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:HKa7Rw3m53uOnCeqlwAFawhBf4iV50lFdNh5K9akZ2AQaxLp+j7cv/j:HKa7RwIuLeqlwAFawhyi9ai2AXxLojgD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2823:sBQUAAAQEgAAAACAJAEgCAAAAhAgEgJAqQAACAAAQEAEg6yAgABBBAAYAAFAAAKAAgACQAAQACkxKAAgBCAAAAAgAMACUBAA

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:e7e7e7e7ffffffff
Perceptual Hash:b3333399988c66ce
Difference Hash:4c4c080800000000
Wavelet Hash:070707070f0f0f0f
Color Hash:#77bf40

Other Hashes

Crop Resistant:4c4c080800000000

Scan History

Scan history not available

Unable to load historical scan data