Security Scan Report: rapid-pink-rpiexeielw-g4kb3juuwe.edgeone.app

Submitted: May 5, 2026, 11:29:41 AMCompleted: May 5, 2026, 11:31:26 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is rapid-pink-rpiexeielw-g4kb3juuwe.edgeone.app and was registered NaN years ago.

Submitted URL: https://rapid-pink-rpiexeielw-g4kb3juuwe.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: 80%

2
Risk Score

Low risk site with no malicious indicators; likely a legitimate technical page hosted on a generic platform.

Risk Factors
Subdomain could have been created recently (creation date unknown)
Low Cisco Umbrella ranking suggests limited reputation
Safety Factors
Absence of login, payment, or credential‑collection forms
No malicious JavaScript or network alerts detected
Content classified as technical documentation with high confidence
Domain age information unavailable

Details

Page Title

HSC 2026 ICT Exam Portal - Model Test 4 (Final)

Scan Type

public

Language

🇧🇩

BN

(80% confidence)

Category

documentation technical

(85%)

Domain Information

The domain 'rapid-pink-rpiexeielw-g4kb3juuwe.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'rapid-pink-rpiexeielw-g4kb3juuwe'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Breaking it apart gives two 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://rapid-pink-rpiexeielw-g4kb3juuwe.edgeone.app/

Page Load Overview

0.60s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:bn
Text Length:1,598 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical85% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
85%
technology software
72%

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

T1A1830741A9EE10329053CDE9630913756236AD03D706E224BE5E97A42FCDEBC6C7FD98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Ezm0vKzmFsXOY7tqMTfGcSbo5wg/Yl/l1Kw5960OOA2eTPb:WmEKYsXOY7FLCDSOAF7b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85294:qzSgSP6YICZDlHoMpMQgohAoMgwYCYAcdAoQA1AA+yDIFgDgAAtGRZbUBoICkCAhQh0YAlCaql7hMpCMNUFMxgr1CMyIUSQz

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:003c3c3c3e3e3e3c
Perceptual Hash:833c6d6d383a3cc3
Difference Hash:b3f0f8f8f8e0c8cd
Wavelet Hash:003c3c3e3e3e3e3c
Color Hash:#2dd251

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data