Security Scan Report: app.namastay.io

Submitted: Jan 25, 2026, 4:03:21 AMCompleted: Jan 25, 2026, 4:04:29 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is app.namastay.io and was registered NaN years ago.

Submitted URL: https://app.namastay.io

The Cisco Umbrella rank of the primary domain is #298,596 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (>4 years old)
No malicious Indicators of Compromise detected
No login, payment, or hidden sensitive fields
HTTPS connection
Domain age information unavailable

Details

Page Title

Namastay

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(31%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'app.namastay.io' is registered and includes subdomain 'app'. The core label 'namastay' covers 8 characters with 3 vowels and five consonants. Breaking it apart gives 2 words: nama, stay. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.namastay.io

Page Load Overview

2.18s
Total Load Time
33
HTTP Requests
1
Domains
1.1 MB
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:159 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content31% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
31%
healthcare medical
30%
news media journalism
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3334.111.33.199Kansas City, Missouri, United States
AS396982Google LLC
331--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197A3743B75E44C7B124BC6D9BCCA9923626C13945FFE04A4780B90E41F42A563D6BC9F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:rOQRBOQRBOQRo9sD3jmBMgywLvlrGo/TG8XJ2Pky4upJWk45t2qanozYDvo87cJP:fWsky4uN45tfOG9MrPWnjaVsxbF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100579:UMCHAAqwMCDAhUkuABLIBARNIIM2wgqEACzEX1ciYQLAIMuMoqigYDNTVzQQNQk6CAOcSA4BMIGHLwWUYOBQCBvBXAEJ0Ako

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:0707070707070703
Perceptual Hash:a4a55ba45aa55ba6
Difference Hash:0606060606060606
Wavelet Hash:070707070f0f0707
Color Hash:#6c87e0

Other Hashes

Scan History

Scan history not available

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