Security Scan Report: bancsabadell.com

Redirected to:
https://www.bancsabadell.com/bsnacional/es/particulares/
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Submitted: Jun 21, 2026, 9:40:40 AMCompleted: Jun 21, 2026, 9:42:02 AMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 6 domains to perform 128 HTTP transactions. The main domain is bancsabadell.com and was registered NaN years ago.

Submitted URL: https://bancsabadell.com

Effective URL: https://www.bancsabadell.com/bsnacional/es/particulares/Redirected

The Cisco Umbrella rank of the primary domain is #335,758 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

The site appears legitimate with no phishing or malware signs; low risk despite low ranking and obfuscated JavaScript.

Risk Factors
Low Cisco Umbrella ranking (335,758) for a well‑known brand
Critical JavaScript obfuscation score with heavy use of base64 and charcode manipulation
Safety Factors
Brand ownership aligns with domain name
Long domain registration history
Absence of forms that collect credentials or payment data
No network‑level or malware indicators
Domain age information unavailable

Details

Page Title

Inicio

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

finance banking

(87%)

Domain Information

Domain 'bancsabadell.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 12 characters in 'bancsabadell' split between four vowels and 8 consonants. Breaking it apart gives 3 words: ban, c, sabadell. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bancsabadell.com

Page Load Overview

13.05s
Total Load Time
128
HTTP Requests
6
Domains
1.5 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
Text Length:11,691 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking87% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
87%
cryptocurrency blockchain
63%
technology software
54%
adult content
44%
government public service
41%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
202.16.183.12Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
945.148.223.220Spain
AS60813Banco de Sabadell SA
9143.204.181.99United States
AS16509Amazon.com, Inc.
999.84.152.107United States
AS16509Amazon.com, Inc.
9104.18.32.137United States
AS13335Cloudflare, Inc.
918.66.122.58United States
AS16509Amazon.com, Inc.
9143.204.181.67United States
AS16509Amazon.com, Inc.
918.66.122.79United States
AS16509Amazon.com, Inc.
92.16.183.10Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
918.66.122.13United States
AS16509Amazon.com, Inc.
12813--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124A41853A7483A1AE09397169A92BAD97038A53BBDB34CDDF44E63384FDC7E50C1960C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:4gAWjRawzI7LKiH0Kz8FmCdqoL7rlx7EekE1e:5XRawdqCd3L7M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:458962:FAgBhJImkCemFFpWEhIUCdIIkRDVYaJIAAWQgkQOXAFm8ZZUA8QEgRCG1A5CzhgbMgDFBOYcEmgQAigkTSVXCCE0jDUkKRCH

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:0000000000ffffff
Perceptual Hash:ea12911b6b964b6b
Difference Hash:7385236763233833
Wavelet Hash:0103010181ffffff
Color Hash:#ae2dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data