Security Scan Report: mini-apps.audyno.dev.bahasalab.com

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Submitted: Mar 3, 2026, 5:46:01 AMCompleted: Mar 3, 2026, 5:47:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is mini-apps.audyno.dev.bahasalab.com and was registered NaN years ago.

Submitted URL: https://mini-apps.audyno.dev.bahasalab.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain (>8 years old)
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No suspicious redirects or network alerts
Domain age information unavailable

Details

Page Title

Mini Apps | Meeting.ai

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'mini-apps.audyno.dev.bahasalab.com' is registered and includes subdomain 'mini-apps.audyno.dev'. The second-level label 'bahasalab' is 9 characters long containing four vowels alongside 5 consonants. Splitting it apart reveals two words: bahasa, lab. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mini-apps.audyno.dev.bahasalab.com/

Page Load Overview

1.50s
Total Load Time
5
HTTP Requests
1
Domains
15 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:189 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
53.1.39.9Singapore, Singapore
AS16509Amazon.com, Inc.
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7926580B40C12745D3FA754EEC8A76CD120F542AF625436B10E048BE9D7FF639B6E6A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Co3do0QOx05nrGPKJgg8T4xksc64Jysq7vE9u90ck:dTx0rGV4xksc64Jysq7vuu97k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20059:NdjjIUJzkBDWr6QTAZQiIRgmGUogGkYABAkACoEiHGkId0EBjMUBXwYABgBhqnkYPEgAhCMYgWoAxkKA1gAprEtxI1AoxENz

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:7f7f00ffffffffff
Perceptual Hash:82028085957f7f7f
Difference Hash:e0c1510000000000
Wavelet Hash:1f0000fff0f0f0f0
Color Hash:#6c8de0

Other Hashes

Crop Resistant:e0c1510000000000

Scan History

Scan history not available

Unable to load historical scan data