Security Scan Report: xn--crdit-agricole-rkb.eu

Redirected to:
https://www.credit-agricole.pl/klienci-indywidualni
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Submitted: Completed: publiccompleted
This website contacted 19 IPs in 3 countries across 15 domains to perform 153 HTTP transactions. The main domain is xn--crdit-agricole-rkb.eu.

Submitted URL: https://xn--crdit-agricole-rkb.eu

Effective URL:
https://www.credit-agricole.pl/klienci-indywidualni
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Accented-variant domain redirects to the genuine, established credit-agricole.pl bank homepage; no credential/payment forms, no malware or threat-intel hits — legitimate.

Safety Factors (4)
Destination domain www.credit-agricole.pl is the brand owner and an established, ranked site
No credential or payment capture forms on the page
No Indicators of Compromise, hunting rule, IDS or Safe Browsing hits
Content and contact details consistent with a real Polish retail bank
Domain age information unavailable

Details

Page Title

Bank Credit Agricole - Credit Agricole

Scan Type

public

Domain Name Analysis

The domain 'xn--crdit-agricole-rkb.eu' uses the .eu country-code top-level domain. The registrable portion 'xn--crdit-agricole-rkb' spans 22 characters split between five vowels and 13 consonants, notching four hyphens. It segments into 8 words: xn, c, rd, it, agri, cole, rk, b. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

CH Klienci indywidualni Qa Bezpieczeństwo więcej ©| KONTAKT WEŹKREDYT OTWORZKONTO @ LOGOWANIE al KONTA KREDYTY — KREDYTY HIPOTECZNE KARTYKREDYTOWE OSZCZĘDNOŚCI INWESTYCJE _ UBEZPIECZENIA _ BANKOWOŚ...

Page Load Overview

3.20s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

🇵🇱Polish
Code: pl
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pl-PL
Text Length:17,189 chars
Detector Agreement:80%

Website Classification

Primary Category

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

All Detected Categories

finance banking
99%
government public service
82%
corporate business
73%
adult content
54%
technology software
49%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.66.150.27Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8172.67.128.80Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8104.20.45.121Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
820.93.211.47Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
8142.251.110.97Google · CDNUnited States
AS15169Google LLC
8150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
8157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
8142.251.13.155Google · CDNUnited States
AS15169Google LLC
8142.251.157.119Google · CDNUnited States
AS15169Google LLC
8142.251.155.119Google · CDNUnited States
AS15169Google LLC
15319--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165C3E92385A87537476759CEF952BF1870E3820DCF664E61FAFC4AB80BD6C809E5244B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:SWMU65yAXTLcMa3b0W+Jp/YPSFSY1tdttZGrngCD1tBwrpJtHFeWQSCsFd4LQM8v:JWsX3RhadFtvLAGaCH77QyMDWMSLSSMg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:120649:RUCFBTUBwEZCaRQhFGBqCg0QhKQEshcJlIswQLgiIYTAkwSZJAaVJwAAJEAWQAAjKaXlLFBINIugGwpoAaCNlBI8AgrA1QSa

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:fc202f2f2f2f3f0f
Perceptual Hash:876fdcc098d8b98a
Difference Hash:c16f6b49c94bc9d8
Wavelet Hash:fc200f0f0f0f2f0f
Color Hash:070000001c0

Scan History

Scan history not available

Unable to load historical scan data