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Security Scan Report: ferreagricolas.vercel.app

Redirected to:
https://ferreagricolas.vercel.app/
Submitted: Sep 21, 2026, 10:50:03 PMCompleted: Sep 21, 2026, 10:51:12 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/6f0cb758-09a5-4801-ad6d-dc4d451ee088Domain and IP registration (RDAP)/api/v1/rdap/6f0cb758-09a5-4801-ad6d-dc4d451ee088Certificate Transparency/api/v1/ct/ferreagricolas.vercel.appHow often this domain was scanned/api/v1/domain/stats/ferreagricolas.vercel.appScan history for this domain/api/v1/domain/history/ferreagricolas.vercel.app?limit=15

This website contacted 35 IPs in 2 countries across 22 domains to perform 191 HTTP transactions. The main domain is ferreagricolas.vercel.app and was registered 14 years ago.

Submitted URL: http://ferreagricolas.vercel.app

Effective URL:

https://ferreagricolas.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Impersonates Bancoagrícola on a non-official Vercel subdomain. No credential form captured, but brand impersonation alone warrants high-risk caution.

Risk Factors (3)
Impersonation of Bancoagrícola, a different entity's financial brand
Domain ferreagricolas.vercel.app does not match the claimed bank
Uses copied bank metadata and content on an unrelated free-hosting subdomain
Domain age information unavailable

Details

Page Title

Bancoagrícola - Productos financieros para personas y empresas

Scan Type

public

Domain Name Analysis

The domain 'ferreagricolas.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'ferreagricolas'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Word splitting yields 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://ferreagricolas.vercel.app

Page Load Overview

26.05s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:7,434 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking98% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
98%
technology software
96%
education learning
95%
adult content
89%
government public service
89%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5172.66.0.227Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
564.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
518.244.18.45Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
518.66.122.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5142.250.154.97Google · CDNUnited States
AS15169Google LLC
545.60.243.99Incapsula · WAFUnited States
AS19551Incapsula Inc
513.35.58.72Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
19135--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16351E1574C81978E9611F98058E6F81BC0B7D709FE48ED1DB4AD10AE25F87C896EF838

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:BICoNdJS74zSt+tPUOFvGbW61G1Dn0q1fePa0Ff:iCadJSUWtWsTseC0F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3141:IAIEIAECAIAgAgJEAAAAAhAUQEICAgAAIA2QAAIAgIEAAAgCACAAAMAECAEkAITAQAAAASACwEAOAAQCRAABQCBECAAAxAAA

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:00ffffffffffc383
Perceptual Hash:b4cb644b65534b63
Difference Hash:d92031284c6a060e
Wavelet Hash:00ffffdfc100c381
Color Hash:#1f9370

Other Hashes

Crop Resistant:d92031284c6a060e,0000000000000000,05296929a9b16905,1d61252d85098dac

Scan History

Scan history not available

Unable to load historical scan data