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Security Scan Report: havanconsultar.vercel.app

Submitted: Jul 2, 2026, 7:51:51 PMCompleted: Jul 2, 2026, 7:53:04 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 2 HTTP transactions. The main domain is havanconsultar.vercel.app and was registered NaN years ago.

Submitted URL: https://havanconsultar.vercel.app/

AI Security Verdict

Low Risk

Confidence: 88%

3
Risk Score

Impersonates Havan brand and harvests personal data via a form on an unknown-age Vercel subdomain; high risk of phishing.

Risk Factors
Brand impersonation
Unknown subdomain age
Unranked domain reputation
Form collecting personal data without authentication
Hosting on a generic platform subdomain
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 8 to 3
Domain age information unavailable

Details

Page Title

Havan - Cartão de Crédito

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

finance banking

(79%)

Domain Information

The domain 'havanconsultar.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'havanconsultar'. The registrable portion 'vercel' spans 6 characters with 2 vowels and four consonants. Tokenizing the label suggests 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://havanconsultar.vercel.app/

Page Load Overview

3.34s
Total Load Time
81
HTTP Requests
17
Domains
11.9 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:17,431 chars
Detector Agreement:75%

Website Classification

Primary Category

finance banking79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
79%
government public service
55%
technology software
47%
e-commerce shopping
44%
cryptocurrency blockchain
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.26.10.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
1074.125.29.95Google · CDNUnited States
AS15169Google LLC
10172.64.152.224Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10192.0.66.239San Francisco, California, United States
AS2635Automattic, Inc
10157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
10104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1064.29.17.131United States
AS16509Amazon.com, Inc.
818--

Detected Technologies4

WordPress
75%
Vercel
40%
HSTS
40%
Facebook Pixel
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B94E66265A310366463D19577A3874B3A60C103E60BCE187BAC5794CFCAFD6DAA37CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DB2KeZJGXEUQV4u0Q2RV5QQRqsLAB1tWELYaAjounBjPxWPYvwMa:89OLQ2RjQQRqLWELYaqLM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:435569:kQyJw4CAAgBaAjXHgHiCWGpYBBNiAoEgggc4QQ6dEQLgPBlFFoiSwuQFMEIBhIBACikAqMuzTQI4EscCAwWAtARqiAlwBLDU

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:00ffff18181818ff
Perceptual Hash:8877f74c3308b633
Difference Hash:41888c33b3b3b3b1
Wavelet Hash:00ffff18181818ff
Color Hash:#93461f

Other Hashes

Crop Resistant:41884cb3b3b3b3b1,8000888c8cb00080,b09ade543a704d1c,41888c33b2b2b2b2

Scan History

Scan history not available

Unable to load historical scan data