Security Scan Report: catalogo-bb-na-marcha.vercel.app

Submitted: Jul 17, 2026, 12:51:49 AMCompleted: Jul 17, 2026, 12:53:12 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 catalogo-bb-na-marcha.vercel.app and was registered NaN years ago.

Submitted URL: https://catalogo-bb-na-marcha.vercel.app/

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(80%)

Domain Information

You're looking at domain 'catalogo-bb-na-marcha.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'catalogo-bb-na-marcha'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. It segments into 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://catalogo-bb-na-marcha.vercel.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
0 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:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical80% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
80%
government public service
46%
cryptocurrency blockchain
41%
technology software
35%
real estate property
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195United States
AS16509Amazon.com, Inc.
21--

Page Statistics

2
Requests
1
Unique Domains
2.0 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA8193377B69211AF333C89FB0C26B993010A121D1ABDAB9FF579F25D5CA1651E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNM8/Jv:TGRe91n5O6Yp63XKk1Vr3h8RkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQEEBBACgiAAIDAAAIUwAAAkgcCCEGAgECAEAAAEABKIAEggCDBoQOEcQwAEAAICFEA5AAJAAkACKwA

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:ffffffcfc3c3ffff
Perceptual Hash:b199ce663199cc66
Difference Hash:000000181e040000
Wavelet Hash:3c3c3c0003033f3f
Color Hash:#acac53

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data