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Security Scan Report: promericaweb-iota.vercel.app

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Submitted: Jul 7, 2026, 12:52:03 AMCompleted: Jul 7, 2026, 12:54:55 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is promericaweb-iota.vercel.app and was registered NaN years ago.

Submitted URL: https://promericaweb-iota.vercel.app/?gad_source=1&gad_campaignid=22814035585&gbraid=0AAAABAdl_B9kGqE5mZ0Of2b7_aOa2dMoe&gclid=EAIaIQobChMIqr6v3-_QjgMVQZ9aBR1QNSTgEAAYASAAEgLSpPD_BwE

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site appears to be a legitimate laundry service page with no malicious indicators, but the unknown subdomain age warrants caution.

Risk Factors
Subdomain on a hosting platform with unknown creation date
Safety Factors
Self‑branding matches site content
No malicious scripts or external threats detected
No form data collection
Domain age information unavailable

Details

Page Title

Lava en Happy Laundry | Lavandería Medellin | Ropa limpia el mismo día

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

adult content

(59%)

Domain Information

The domain name 'promericaweb-iota.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'promericaweb-iota'. The core label 'vercel' covers 6 characters holding 2 vowels versus four consonants. Word splitting yields 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://promericaweb-iota.vercel.app/?gad_source=1&gad_campaignid=22814035585&gbraid=0AAAABAdl_B9kGqE5mZ0Of2b7_aOa2dMoe&gclid=EAIaIQobChMIqr6v3-_QjgMVQZ9aBR1QNSTgEAAYASAAEgLSpPD_BwE

Page Load Overview

80.21s
Total Load Time
196
HTTP Requests
21
Domains
6.5 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:3,880 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content59% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
59%
blog personal website
57%
finance banking
52%
social media network
49%
cryptocurrency blockchain
49%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6665.8.131.55Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6534.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
65216.198.79.131United States
AS16509Amazon.com, Inc.
1963--

Detected Technologies4

MetaGenerator
100%
Wix
85%
Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ABC3B622E69D0D3F702384DAF5BA935670C1D518DB4685245EECA3BA17CBCF6B346A0C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:iQNYn9sHbYIT2e7WwLTRaz6REeeGeeSv8QYztxDvbHelen45e4RB2eYeedeee8hV:gsHXVLbRaR+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:120664:BIZIYAwB/gawkdIQ+kZCEEEIYI0COEQIkAYwGDoWpUhqiUeC2AJCkFAoCIgcAABIBAlE1ICxBIkAEYAdYvgI8DYgoPRMhFGC

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:01c3d3ffffdf8700
Perceptual Hash:a2ad2c9b4b765c54
Difference Hash:535794cdd9bd0d15
Wavelet Hash:0103d3ff7f5f0700
Color Hash:#c5b187

Other Hashes

Crop Resistant:4fdfd969e1b179cd,65674e62f1461813,243c3cc8c8008058,e2f9a9ada396ccf0,435794ccd8bc0c17,2525253d390d3d19

Scan History

Scan history not available

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