Security Scan Report: 2025-beta.vercel.app

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Submitted: Jul 18, 2026, 7:50:13 AMCompleted: Jul 18, 2026, 7:51:33 AMpubliccompleted
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Summary

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

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High risk site likely used for credential phishing; avoid and report.

Risk Factors
Credential form on unknown‑age subdomain
Brand impersonation (BHD) on non‑official domain
Google Safe Browsing social engineering flag
Domain age information unavailable

Details

Page Title

BHD - IBP

Scan Type

public

Language

🇪🇸

Spanish

(56% confidence)

Category

finance banking

(84%)

Domain Information

The domain '2025-beta.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain '2025-beta'. Its registrable label 'vercel' stretches across 6 characters with two vowels and 4 consonants. Splitting it apart reveals 2 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

0.99s
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
864.29.17.195United 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:#afc587

Scan History

Scan history not available

Unable to load historical scan data