Security Scan Report: reynataadylia-yaamevvtcu.edgeone.app

Submitted: Feb 13, 2026, 3:41:45 AMCompleted: Feb 13, 2026, 3:43:13 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 reynataadylia-yaamevvtcu.edgeone.app and was registered NaN years ago.

Submitted URL: https://reynataadylia-yaamevvtcu.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age > 365 days
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low ranking does not imply maliciousness without other signs
Domain age information unavailable

Details

Page Title

reynataadylia-yaamevvtcu.edgeone.app

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

documentation technical

(65%)

Domain Information

Domain 'reynataadylia-yaamevvtcu.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'reynataadylia-yaamevvtcu'. Count 7 characters in 'edgeone' with four vowels and three consonants. Word splitting yields 2 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://reynataadylia-yaamevvtcu.edgeone.app/

Page Load Overview

12.79s
Total Load Time
11
HTTP Requests
2
Domains
9.1 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:465 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical65% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
65%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1143.152.26.58Singapore
111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T185048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszI2bMy8OldK:8hoC9JSqzzbs6o3Sj3gcrs02eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184571:ANXBHoA6KyBAT1iBIlKiSGATAIkwJFdwAlMCKOSlBoBFGshUNAJFAgEOAmm0CQEMCBAwmGwRTgiqkg0AdVpAgEwEBkGGRJnA

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#e0bd6c

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data