Security Scan Report: farmapay-eight.vercel.app

Redirected to:
https://farmapay-eight.vercel.app/login
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Submitted: Sep 23, 2026, 7:50:04 PMCompleted: Sep 23, 2026, 7:50:40 PMpubliccompleted

This website contacted 9 IPs in 1 country across 4 domains to perform 33 HTTP transactions. The main domain is farmapay-eight.vercel.app.

Submitted URL: https://farmapay-eight.vercel.app/

Effective URL:

https://farmapay-eight.vercel.app/login
Redirected

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Farmapay device-verification page on a Vercel preview subdomain; it self-brands and calls the real farmapay.com.ar backend. No credential/payment capture and no threat-intel, YARA, or IDS hits — low risk.

Risk Factors (3)
Hosted on a shared .vercel.app subdomain whose actual creation date is unknown (PaaS preview host)
Not ranked in Cisco Umbrella top 1M and not the brand's official domain
Two eval() calls present (usually a bundler artifact, but dynamic code execution)
Safety Factors (4)
Content and backend calls align with the site's own brand (Farmapay / farmapay.com.ar)
No password, disguised-password, or payment fields anywhere on the page
No cross-origin credential exfiltration and no cross-origin credential form submission
No Indicators of Compromise, YARA, IDS, or Safe Browsing evidence
Domain age information unavailable

Details

Page Title

Farmapay | Comercios

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'farmapay-eight.vercel.app' is registered; it also runs on subdomain 'farmapay-eight'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Splitting it apart reveals 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://farmapay-eight.vercel.app/

Page Load Overview

0.56s
Total Load Time
6.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:947 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
42%
e-commerce shopping
34%
documentation technical
30%
adult content
27%
phishing scam
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
352.86.224.29Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3184.194.242.194Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
334.193.82.49Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
33.161.82.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
33.161.82.61Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
33.161.82.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
339--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5231916F7EA15267C639EA973ABB61632648443D241C5343E8C0644CF8E988CBF6FDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:d7AyrhS5JR5+46RyBzTxc/30hBD9cl2Opo8eZI5ac:bM+4J5c/3gBcgc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48447:gthApCIM8AAEsCSE0SoQAQyhCScBsRKjBAUDMCChwVJGDhUcIEIipxU4JIoHAAnogZBqHTEBKyDygUwBAOAACGgJAKNUACIo

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:ffffffe7e7ffffff
Perceptual Hash:b38ccc3333cccc33
Difference Hash:0000000c0c000000
Wavelet Hash:30303c24e0f0f0f0
Color Hash:#78763a

Other Hashes

Crop Resistant:0000000c0c000000

Scan History

Scan history not available

Unable to load historical scan data