Security Scan Report: arasbday-292ax2iytn.edgeone.app

Submitted: Apr 27, 2026, 6:34:18 PMCompleted: Apr 27, 2026, 6:35:26 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 arasbday-292ax2iytn.edgeone.app and was registered NaN years ago.

Submitted URL: https://arasbday-292ax2iytn.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: 72%

2
Risk Score

The site appears low risk with no malicious indicators; limited suspicion due to unknown subdomain age.

Risk Factors
Subdomain age unknown (could be newly created)
Low domain ranking (outside top 100K)
Safety Factors
No login, payment, or credential‑harvesting forms
No malicious Indicators of Compromise detected
No JavaScript malware signatures
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🏳️

SO

(29% confidence)

Category

documentation technical

(67%)

Domain Information

The domain 'arasbday-292ax2iytn.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'arasbday-292ax2iytn'. The second-level label 'edgeone' is 7 characters long 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://arasbday-292ax2iytn.edgeone.app/

Page Load Overview

0.54s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🏳️SO
Code: so
Confidence:29%
Script:Unknown
Direction:ltr

Detection Details

Language Code:so
Detection Confidence:29%
Script Type:Unknown
HTML Lang Attribute:zh
Text Length:874 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as so

Website Classification

Primary Category

documentation technical67% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
67%
healthcare medical
37%
news media journalism
37%
cryptocurrency blockchain
36%
technology software
32%

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

T14D23F384DFF46FDCA41F87449B6D7B3F6A25A003A48C418CB5AD0DB0AF89949E4B7075

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+pCu6Ga+SmiCOSu2iC2OysS6iyqyqqiaSyaG2Koi0SIid:wNIqpCu6Ga+SmiCOSu2iC2OysS6iyqyn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46017:UC3AgAAEKMIErSADREOIyKBKaVIkFDAJJSIDUQsHECQKSYOLmIJLUToCRZYKZkC0giZSX0kSAKACgYGBKEAkqUphPg6EBJFB

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:1c1c3c1c1c1c1c3c
Perceptual Hash:da74743828aac3e7
Difference Hash:3030707171707170
Wavelet Hash:dcbc3c3c3c3c1c1c
Color Hash:#409bbf

Other Hashes

Crop Resistant:3030707171707170

Scan History

Scan history not available

Unable to load historical scan data