Security Scan Report: nuevoapps.vercel.app

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Submitted: Sep 5, 2026, 1:45:23 AMCompleted: Sep 5, 2026, 1:49:48 AMpubliccompleted

Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 3 HTTP transactions. The main domain is nuevoapps.vercel.app and was registered 6 years ago.

Submitted URL: http://nuevoapps.vercel.app/?entity=10901746

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Personas - Banco General Panamá

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

corporate

(70%)

Domain Information

Domain 'nuevoapps.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'nuevoapps'. The second-level label 'vercel' is 6 characters long with 2 vowels and 4 consonants. Segmentation suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://nuevoapps.vercel.app/?entity=10901746

Page Load Overview

N/A
Total Load Time
3
HTTP Requests
0
Domains
N/A
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:31 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: static
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.67United States
AS16509Amazon.com, Inc.
0172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0159.60.146.76United States
AS35280F5 Networks SARL
0104.20.36.228Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.127.95Google · CDNUnited States
AS15169Google LLC
05--

Page Statistics

0
Requests
0
Unique Domains
0.0 KB
Total Size

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5B26472F09440633ECF573CD1D6F628A659E600BA09EBFA70F470A984D4EBB10A725D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ahkrAPZdypLztiFHHpd/fTLthrjnnJ9fvU:HrAXypFiFHHpd/fTLthrjnnJ9fvU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24971:m4kkaAqcKG8cgVEhSCCIgQGGVYDZYgWwEcJ+LAMAA0ECKYEgRAQt9TIGoAIPwdDAIUFiaSLgYDYFAdQUCFDcKIKhIhFAEgMx

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:e10000bfffc3ff83
Perceptual Hash:d84876cb9c8736c3
Difference Hash:219b8eb2b20dc82f
Wavelet Hash:b100003fff85ff83
Color Hash:#c5879a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data