Security Scan Report: banreservas.com.do

Redirected to:
https://www.banreservas.com/
Site favicon
Submitted: Oct 12, 2026, 2:35:29 AMCompleted: Oct 12, 2026, 2:36:39 AMpubliccompleted

This website contacted 29 IPs in 2 countries across 14 domains to perform 190 HTTP transactions. The main domain is banreservas.com and was registered 29 years ago.

Submitted URL: https://banreservas.com.do

Effective URL:

https://www.banreservas.com/
Redirected

The Cisco Umbrella rank of the primary domain is #878,668 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Official Banreservas bank site reached via a benign redirect to the bank's own domain; self-branded, no forms, no Indicators of Compromise, YARA or IDS hits. No malicious signals.

Safety Factors (6)
Final destination is the brand owner's own domain, refuting any impersonation claim
Self-branding: title and meta tags match the domain
No credential, login or payment forms present
No Indicators of Compromise, YARA, IDS or Safe Browsing hits
Entry domain registered 2001 (very old registration) and the destination domain is ranked in the Umbrella top 1M
Site publishes a phishing-report address and standard corporate/contact information (Sobre Nosotros, Sala de prensa, contact phone 809-960-0701)
Domain age information unavailable

Details

Page Title

Personal | Banreservas

Scan Type

public

Domain Name Analysis

The domain 'banreservas.com.do' uses the Dominican country-code top-level domain (.com.do). The second-level label 'banreservas' is 11 characters long split between 4 vowels and seven consonants. Tokenizing the label suggests four words: ban, re, serva, s. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://banreservas.com.do

Page Load Overview

6.05s
Total Load Time
17.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es-do
Text Length:20,957 chars
Detector Agreement:80%

Website Classification

Primary Category

blog personal website88% confidence
Type: spa
Method: ml+structural

All Detected Categories

blog personal website
88%
finance banking
72%
news media journalism
67%
government public service
55%
corporate business
40%

Detected Features

Search
OG: Website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2223.50.131.147Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
623.50.131.153Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
63.160.150.59Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6150.171.109.107Azure · CLOUDUnited States
AS8075Microsoft Corporation
6104.26.7.101Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
679.127.211.89Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
6142.251.110.97Google · CDNUnited States
AS15169Google LLC
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6216.239.32.36Google · CDNUnited States
AS15169Google LLC
6142.251.127.154Google · CDNUnited States
AS15169Google LLC
19029--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13AB44070D5F1102F5293A1C07A706B1AAF96D903E65A561577FC0BDAAFC7E82CD23A0C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Qamli20XDbI3nMB1mqxJaM5Ip+IXXXXXXXXunlvrjvL/XXXXXXXXXXXXXXXXXXXT:Z/H3xN59lvPvLkNwiMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:517690:HCFgkNgdBYCVBMFAKEZaCkAMHYDQiGqIgpwBJ+QwEFAAUxAjER7hzihCCoqaEBEiAoAQGQGFACAgxCAwP4oAaBCAgVCMoBSI

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:ff1f0f0b00007fff
Perceptual Hash:b139de4eed293046
Difference Hash:23fcde9bce9dfd08
Wavelet Hash:ff0f0f0900007bff
Color Hash:#7994d2

Scan History

Scan history not available

Unable to load historical scan data