Security Scan Report: promericaweb-iota.vercel.app

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Submitted: Sep 26, 2026, 9:50:23 PMCompleted: Sep 26, 2026, 9:52:16 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Self-branded Medellín laundry site with no forms, no impersonation and no content-malware evidence; only unverified generic abuse-reputation tags and hosting-service IDS notices, which are non-content signals.

Safety Factors (5)
No credential, login or payment forms on the page
Self-branded content consistent with the page's own business — no impersonation of another entity
No JavaScript malware patterns, no known phishing kit, no high-precision YARA hits, no Safe Browsing threat
No cross-origin credential exfiltration or cross-origin form submission detected
Content is coherent, detailed and business-specific (services, pricing, branches, opening hours)
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Domain Name Analysis

You're looking at domain 'promericaweb-iota.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'promericaweb-iota'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Segmentation suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://promericaweb-iota.vercel.app

Page Load Overview

26.20s
Total Load Time
9.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:3,880 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content59% confidence
Type: spa
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
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
565.8.131.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
534.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
518.66.102.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
565.8.131.55Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5100.57.36.175Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
534.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
565.9.130.86Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5142.251.150.4Google · CDNUnited States
AS15169Google LLC
557.144.204.192Facebook · CDNChicago, Illinois, United States
AS32934Facebook, Inc.
20137--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12D257E6591485C3D8BCF13DDFA12BF0D21E4542BD980552BF8EE2E682AE35E8139B317

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:c1A/5Jxr8PTWR7VJojWFB0ifuK0/K+0cme:c1A/5Tr8Qoj60ifuK0/K+0cv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:972824:SCTKDCs4EgBL4CRQ0UIZQjQxygcoAoNCiAlIoQPqIMMIASIwAEQU0IsSKFRwMIAMCwDRGALDJpBAltlwICRElsBJqIKFJoVE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data