Summary
This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is cj359261-wordpress-97g55.tw1.ru.
Submitted URL: https://cj359261-wordpress-97g55.tw1.ru/wp-content/plugins/nwca-ddcanw/pages/region.php
AI Security Verdict
Confirmed Scam
Confidence: 95%
Phishing site impersonating Crédit Agricole on a compromised WordPress domain
Risk Factors
Details
Page Title
502 Bad Gateway
Scan Type
public
Language
French
Category
finance banking
(83%)Domain Information
Within the Russian country-code top-level domain (.ru), 'cj359261-wordpress-97g55.tw1.ru' is registered and includes subdomain 'cj359261-wordpress-97g55'. The second-level label 'tw1' is 3 characters long with 0 vowels and 2 consonants; it also includes one digit. Word splitting yields 2 words: tw, 1. Median word length comes out to 1.5 characters. The linguistic tilt is Albanian for 'tw'. Taken together, it feels Albanian with character flair.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 2 | 92.53.96.105 | Russia | AS9123Jsc timeweb |
| 1 | 2a03:6f00:1::5c35:6069 | St Petersburg, St.-Petersburg, Russia | AS9123Jsc timeweb |
| 3 | 2 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data