Security Scan Report: pichisa-iota.vercel.app

Submitted: Nov 5, 2025, 2:31:49 AMCompleted: Nov 5, 2025, 2:32:20 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is pichisa-iota.vercel.app and was registered NaN years ago.

Submitted URL: https://pichisa-iota.vercel.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

other

(71%)

Domain Information

The domain 'pichisa-iota.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'pichisa-iota'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. Word splitting yields two words: ver, cel. Median word length comes out to three characters. The linguistic tilt is Portuguese for 'ver'. It also appears in Portuguese (Brazil) and Galician contexts.

Screenshot

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

Page Load Overview

6.31s
Total Load Time
7
HTTP Requests
3
Domains
192 KB
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:411 chars
Detector Agreement:67%

Website Classification

Primary Category

other71% confidence
Type: static
Method: ml+structural

All Detected Categories

other
71%
legitimate website
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.181.234United States
AS15169GOOGLE
1216.198.79.131United States
AS16509AMAZON-02
1142.250.185.227United States
AS15169GOOGLE
164.29.17.131United States
AS16509AMAZON-02
12a00:1450:4001:828::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
76--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1183174B745B1702EF33B8CFE34E677646244911BC0920F99B618ABF8E2C7CA65023685

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz750:nGi9ScnwEY50

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAAAAAAEAACYAAIAACAAAAAAICAAIAAAAAIIEQQQAAAAgABAIAACAAAAAIECAAAAABAwEAAAgAAQAABAQIAAMAAAAAQAA

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:0c0c3c24071f1f07
Color Hash:#539aac

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data