Security Scan Report: holy-mapping.vercel.app

Submitted: Nov 6, 2025, 6:50:25 AMCompleted: Nov 6, 2025, 6:53:02 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 2 domains to perform 26 HTTP transactions. The main domain is holy-mapping.vercel.app.

Submitted URL: https://holy-mapping.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Phishing page impersonating Facebook; confirmed scam, avoid interaction.

Risk Factors
Brand impersonation of Facebook
Credential harvesting login form
External form submission to unrelated server
New/unranked domain
Google Safe Browsing social engineering detection
Domain age information unavailable

Details

Page Title

Log in to Facebook

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce

(56%)

Domain Information

The domain name 'holy-mapping.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'holy-mapping'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. Word splitting yields two words: ver, cel. The median word length lands at three characters. 'ver' most strongly signals Portuguese. You may catch it in Portuguese (Brazil) and Galician as well. Overall, 'holy-mapping.vercel.app' reads as Portuguese.

Screenshot

Security scan screenshot of https://holy-mapping.vercel.app/

Page Load Overview

1.24s
Total Load Time
26
HTTP Requests
2
Domains
185 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:536 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce56% confidence
Type: webapp
Method: ml+structural

All Detected Categories

e-commerce
56%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5216.198.79.131United States
AS16509AMAZON-02
564.29.17.131United States
AS16509AMAZON-02
52a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3216.198.79.3United States
AS16509AMAZON-02
265--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12562876A25FC403506A28A966FE1752ADD83611BC89CBD42B0DE53AD7FC3FE58C4321D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:xuMj5mT2E9d3KQomuUs9N/JQADx5bOtwH/ctmxXWxFzaYQ5oUo4F1:xuMj5mT2E9d3KQduUs9NhvXOtsyn4F1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15521:AwCRMKUAA4DBLUICJpoRQGSWcI4AQFgAAIICiAjABrQgARAICxMlIgY1CnlgrLhdCYUiw5JA8gaCIGUaWDBAg1MkQCU4UYTI

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data