Security Scan Report: vapyas.com

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Submitted: Jan 18, 2026, 6:18:02 AMCompleted: Jan 18, 2026, 6:19:39 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 1 HTTP transaction. The main domain is vapyas.com and was registered NaN years ago.

Submitted URL: https://vapyas.com/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Brand impersonation scam on a brand‑new, unranked domain; do not trust.

Risk Factors
Brand impersonation on a newly registered, unranked domain
Critical domain age (<7 days) increases suspicion
Unranked domain suggests low reputation
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by access_denied bot protection. Our scanner was challenged or blocked during access.

Page Title

Ovapya Entregas

Scan Type

public

Language

🇵🇹

Portuguese

(45% confidence)

Category

adult content

(38%)

Domain Information

Domain 'vapyas.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'vapyas' stretches across 6 characters split between 2 vowels and four consonants. Segmentation suggests three words: va, py, as. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vapyas.com/

Page Load Overview

4.15s
Total Load Time
99
HTTP Requests
8
Domains
3.1 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:45%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,936 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

adult content38% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
38%
government public service
29%
healthcare medical
29%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1518.196.119.57Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
14104.18.1.22United States
AS13335CLOUDFLARENET
14216.150.1.1United States
AS16509AMAZON-02
14185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
14157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
14157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
14142.250.186.136United States
AS15169GOOGLE
997--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153B43A0EF458E43AD9D30C4BB33E3D7EA499D10B468568A8E9FDC46412C0EFB7BA6541

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Le1I6W1zhiE4Jo4fqP8Xh4+8p+LVabvA3TkLs6Ug1BdG5/qTrA5k/ci3faZgoTkF:nb4gciyxvEDazdl0GekS8H8EzG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:497966:hCA+KAIAIggqKECVAgowkAagKCqUxkhjYI4kQTKCKKgkgUK5mgQIQhUOgAlgpwACMsQqBxAh2gyRcHEUAVBQFDCUKgEEYDAN

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:e7c3c3c3ffffffff
Perceptual Hash:b030dfcfcb084bca
Difference Hash:8e9e8e96968c968e
Wavelet Hash:00c3c3c343c7f7c7
Color Hash:#8790c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data