Security Scan Report: promericaweb-iota.vercel.app

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Submitted: Oct 3, 2026, 10:52:05 PMCompleted: Oct 3, 2026, 10:53:32 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 65%

3
Risk Score

Detailed local laundry-site content, zero forms, no impersonation, no malware. Only weak signals are the free .vercel.app subdomain and a single-source abuse-reputation tag, so risk stays low.

Risk Factors (1)
Hosted on a free shared PaaS subdomain (.vercel.app) with an unknown subdomain creation date — platform age is not attributable to this page
Safety Factors (6)
No forms of any kind: no login, no password, no payment fields
No cross-origin credential handling or exfiltration detected
No brand impersonation — the page presents only its own 'Lava en Happy' laundry brand
No JavaScript malware/YARA hits and no known malicious kit in the roster
Content is coherent, detailed and consistent with a real local laundry business (services, hours, prices, testimonials, terms)
All third-party script hosts are ranked, mainstream services (New Relic, Sentry, Wix, FontAwesome, Google Maps)
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'promericaweb-iota.vercel.app' is registered; it also runs on subdomain 'promericaweb-iota'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and 4 consonants. Word splitting yields 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

26.54s
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 content60% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
60%
blog personal website
58%
finance banking
52%
government public service
50%
social media network
49%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
465.8.131.77Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
434.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
418.66.102.11Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
432.199.2.22Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
434.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
465.9.130.6Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4151.101.2.217Fastly · CDNUnited States
AS54113Fastly, Inc.
4142.251.156.4Google · CDNUnited States
AS15169Google LLC
4172.217.116.4Google · CDNUnited States
AS15169Google LLC
20142--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A257E6591485C3D8BCF13DDFA12BF0D21E4542BD980552BF8EE6E682AE35E8138B317

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:c1A/5Jxr8PTWR7VdojWFB0ifuK0/K+0cmI:c1A/5Tr8Goj60ifuK0/K+0c3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:980374:I/ADhSgFKAYBAQCiQBKWIYKK6WSUWQIDsAYCN0KyAT84e00RkCgA4QBAglPzDCVnIAKIIAopoAbAB7ZQChIEAIKIRIA1LE8E

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

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data