Security Scan Report: pichinchaecuadorempre.vercel.app

Submitted: Jul 10, 2026, 9:51:22 AMCompleted: Jul 10, 2026, 9:52:51 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is pichinchaecuadorempre.vercel.app and was registered NaN years ago.

Submitted URL: https://pichinchaecuadorempre.vercel.app

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

AI analysis skipped: HTTP 451 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

You're looking at domain 'pichinchaecuadorempre.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'pichinchaecuadorempre'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside 4 consonants. Word splitting yields 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pichinchaecuadorempre.vercel.app

Page Load Overview

0.19s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
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:92 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service59% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
59%
news media journalism
58%
healthcare medical
56%
cryptocurrency blockchain
56%
real estate property
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1973172B745B1702EF23B88FE38E633646244911BC0920F99B618AFF8E2C7CA65023745

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz70A0:TGi9ScnwEY0A0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGCAAQABEAAgIggAIAIAB

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:ffffffe7e7ffffe7
Perceptual Hash:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:f0f0fce4243c3c24
Color Hash:#93401f

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data