Security Scan Report: 2025-beta.vercel.app

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Submitted: Aug 8, 2026, 3:50:34 PMCompleted: Aug 8, 2026, 3:51:53 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is 2025-beta.vercel.app and was registered NaN years ago.

Submitted URL: https://2025-beta.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

High‑risk phishing site impersonating BHD with a login form; safe browsing flags confirm credential theft.

Risk Factors
Phishing Safe Browsing alert
Credential form on unknown-age subdomain
Brand impersonation on unrelated domain
Domain age information unavailable

Details

Page Title

BHD - IBP

Scan Type

public

Language

🇪🇸

Spanish

(56% confidence)

Category

finance banking

(84%)

Domain Information

The domain name '2025-beta.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain '2025-beta'. The core label 'vercel' covers 6 characters holding two vowels versus 4 consonants. It segments into two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://2025-beta.vercel.app/

Page Load Overview

1.02s
Total Load Time
15
HTTP Requests
4
Domains
734 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:56%
Script Type:Latin
Text Length:205 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking84% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
84%
corporate business
59%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.195United States
AS16509Amazon.com, Inc.
7142.251.13.95Google · CDNUnited States
AS15169Google LLC
152--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11882D630623435794A87ED6BACA67F4D5031E013C42F1288B6EDC62D77CABE651F5368

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fTGGbaVQQ6eihMCpyJLqDS4G+iUGLgJsaq1uFaLTB3wTr1WXLfNB4jqti7PXhfjj:fTfaVQteih1XDSfQGDaxWXLDtiDRi6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18431:AggBvAnABJEJEgI6CEAcJxCGMaBmIAGcMAUACGCAA7AOkwFhsYATiSDzOlikhCIDomMwqwR7YSQQA3EzACmwASAEVQAgOEMg

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:ffff1f1a00000000
Perceptual Hash:9d8db2f2451db232
Difference Hash:fc3332b2b2893438
Wavelet Hash:ffffff3a78000000
Color Hash:#6b862d

Scan History

Scan history not available

Unable to load historical scan data