Security Scan Report: rayaaabyexercisestudents-nivwnl070n.edgeone.app

Submitted: Mar 26, 2026, 2:10:43 AMCompleted: Mar 26, 2026, 2:12:08 AMpubliccompleted
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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 rayaaabyexercisestudents-nivwnl070n.edgeone.app and was registered NaN years ago.

Submitted URL: https://rayaaabyexercisestudents-nivwnl070n.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

No malicious activity detected; appears to be a simple greeting page.

Safety Factors
No login, password, or payment forms
Low JavaScript obfuscation score (standard minification)
No crossโ€‘origin credential exfiltration
No redirects or suspicious network activity
Content matches a cultural greeting, not brand impersonation
Domain age information unavailable

Details

Page Title

๐ŸŒ™ Selamat Hari Raya โœจ

Scan Type

public

Language

๐Ÿ‡ฎ๐Ÿ‡ฉ

ID

(80% confidence)

Category

finance banking

(55%)

Domain Information

Domain 'rayaaabyexercisestudents-nivwnl070n.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'rayaaabyexercisestudents-nivwnl070n'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Splitting it apart reveals 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://rayaaabyexercisestudents-nivwnl070n.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡ฎ๐Ÿ‡ฉIndonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:186 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking55% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
55%
education learning
39%

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

T127D1322154A3002A5013C9EAB3D76B9934368503E8C7E91B3FDD96C54F83A99D6B23B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fr5BYixrQlC+A/aPkiH5DbXRm7HW3YFrGqZesj:fr0Ug9mj/4qA+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6566:AKKQDFGFKowEHA0AkABkEQxBQlIOAEsEEiBCMgBkcCCxBihQihggCAyQbVYSHQIgxQQABAEQgABEATmiA5FYIDIaADAByGNY

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:03021e1e1c1c1820
Perceptual Hash:9925663266999977
Difference Hash:7efab2b2b8b0f0e0
Wavelet Hash:070f1e1e1e3c7c78
Color Hash:#692dd2

Other Hashes

Crop Resistant:7efab2b2b8b0f0e0

Scan History

Scan history not available

Unable to load historical scan data