Security Scan Report: beneficiosbhdcredit.netlify.app

Submitted: Oct 24, 2025, 5:15:19 AMCompleted: Oct 24, 2025, 5:17:15 AMpubliccompleted
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Summary

This website contacted 23 IPs in 2 countries across 7 domains to perform 11 HTTP transactions. The main domain is beneficiosbhdcredit.netlify.app and was registered NaN years ago.

Submitted URL: https://beneficiosbhdcredit.netlify.app/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing page impersonating BHD bank; do not trust.

Risk Factors
Brand impersonation on an unranked, generic hosting domain
Unranked/low‑reputation domain claiming to be a major financial institution
Garbage OCR text suggesting social‑engineering intent
Domain age information unavailable

Details

Page Title

BHD León - Banca Personal

Scan Type

public

Language

🇪🇸

Spanish

(51% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'beneficiosbhdcredit.netlify.app' on the application-focused generic top-level domain (.app) with subdomain 'beneficiosbhdcredit'. Count 7 characters in 'netlify' with 2 vowels and 5 consonants. Breaking it apart gives 3 words: net, li, fy. Median word length is two characters. 'neto' most often appears in Esperanto. Usage also turns up in Bosnian and Serbian contexts. Overall, 'beneficiosbhdcredit.netlify.app' reads as Esperanto.

Screenshot

Security scan screenshot of https://beneficiosbhdcredit.netlify.app/

Page Load Overview

88.78s
Total Load Time
11
HTTP Requests
7
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:51%
Script Type:Latin
HTML Lang Attribute:es
Text Length:148 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11159.89.102.253Frankfurt am Main, Hesse, Germany
AS14061DIGITALOCEAN-ASN
0104.17.24.14United States
AS13335CLOUDFLARENET
0104.17.25.14United States
AS13335CLOUDFLARENET
034.117.59.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
0104.237.62.213El Segundo, California, United States
AS18450WEBNX
0104.26.12.205United States
AS13335CLOUDFLARENET
035.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0104.26.8.44United States
AS13335CLOUDFLARENET
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1123--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DD82B49B16F705212243E0795B9BA2063269A003564ACD5A3FBC4384DF99FDD8EB37DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:lBl9PUBtz0HPSiwCOCeYMjem8RJPmQsnxQ:lv98OPSXxdljXkz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17905:HgQEAYihgAMC5AAXCEFIghBfYGCZFCaBIhIZwQAASTIAQHq4EDw5CCG1EBlBjAAYqVIxIhQgJjwIAAAQQwMABMAAHAWAkEyB

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:ffff1f1818180000
Perceptual Hash:9da732da4d1d9832
Difference Hash:fc5f32b2b2b33438
Wavelet Hash:ffffff3a18180000
Color Hash:#6ce096

Scan History

Scan history not available

Unable to load historical scan data