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Security Scan Report: experienced-blush-larr5lzvhl-9fgki2pqzo.edgeone.app

Submitted: Feb 4, 2026, 5:22:14 PMCompleted: Feb 4, 2026, 5:24:06 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is experienced-blush-larr5lzvhl-9fgki2pqzo.edgeone.app and was registered NaN years ago.

Submitted URL: https://experienced-blush-larr5lzvhl-9fgki2pqzo.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: 93%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>365 days)
No credential or payment forms
No malicious Indicators of Compromise
No detected malware or suspicious scripts
Low ranking does not outweigh age and lack of threats
Domain age information unavailable

Details

Page Title

RIAN AI — Official

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

technology software

(31%)

Domain Information

Domain 'experienced-blush-larr5lzvhl-9fgki2pqzo.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'experienced-blush-larr5lzvhl-9fgki2pqzo'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Splitting it apart reveals two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://experienced-blush-larr5lzvhl-9fgki2pqzo.edgeone.app/

Page Load Overview

30.47s
Total Load Time
44
HTTP Requests
5
Domains
1.7 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
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:778 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software31% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2243.152.26.58Singapore
AS139341ACE
2218.173.205.111United States
AS16509
442--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173027426A5E314071017C5F97BB36B552725D24BC20ACAA83FAC6BE0CFC87819D6778D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fIKk6uXs8vJ/Y4RZdEMKyFcIL5u+MmllD53zBkqV4yJq+uGFsWzzO:fI5UMu6hO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8983:iRVUABAKwJMAkAn5EIIERB0mICEAx8EQHEtYoJTrKCUICAwBCCGFmIABllSBJvALDgAkMJRGIRJnqAImlIJ3jSBZ+jEECIoy

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:f8f8f8b8f878f8ff
Perceptual Hash:c969b055be5e8748
Difference Hash:4202736161d000d0
Wavelet Hash:f0f03818f838f8fc
Color Hash:#bbe06c

Other Hashes

Crop Resistant:4202736161d000d0,0000000000000002

Scan History

Scan history not available

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