Security Scan Report: bcrecer.vercel.app

Submitted: Nov 24, 2025, 8:30:14 AMCompleted: Nov 24, 2025, 8:31:41 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 4 domains to perform 61 HTTP transactions. The main domain is bcrecer.vercel.app.

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Site impersonates Bancrecer on an untrusted Vercel subdomain – high risk phishing.

Risk Factors
Brand impersonation on a non‑official domain
Unranked and likely newly registered domain
Use of a Vercel subdomain to host a bank‑like page
Domain age information unavailable

Details

Page Title

Bancrecer

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

finance banking

(99%)

Domain Information

The domain 'bcrecer.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'bcrecer'. Count 6 characters in 'vercel' holding two vowels versus 4 consonants. It segments into two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bcrecer.vercel.app/

Page Load Overview

0.69s
Total Load Time
61
HTTP Requests
4
Domains
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es-es
Text Length:6,764 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
99%
government public service
93%
technology software
93%
corporate business
91%
news media journalism
91%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46216.198.79.67United States
AS16509AMAZON-02
1064.29.17.67United States
AS16509AMAZON-02
102a00:1450:4001:82b::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
6142.250.184.195United States
AS15169GOOGLE
6176.100.164.11Ashburn, Virginia, United States
AS25773RADWARE-CLOUD-SERVICES
3107.23.44.14Ashburn, Virginia, United States
AS14618AMAZON-AES
616--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4243071D3A21E62C02A85D462AAD32503D0435FE9E31A0977FFD3B61FCBDE96744268

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:R/oYdlkZ6+re+FJqYW+3E4cQ5qxVUtgmzQzozbmzjz1mzOzqz9mzxz0zexV9tgm+:G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:214749:UlkkAC495ogDIoEAJAQ0BhgAATXAESpEKYIohuYBGPgCUxGgGFjRYwRAioUVuaEoXYaGAiITAqySSiRcaqxQDHACAQAISBgw

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:ff2000400000ffff
Perceptual Hash:c203b7fcdcb418cc
Difference Hash:22c1dd91b111081b
Wavelet Hash:ff200040d8c0ffff
Color Hash:#8b79d2

Scan History

Scan history not available

Unable to load historical scan data