Summary
This website contacted 129 IPs in 6 countries across 48 domains to perform 161 HTTP transactions. The main domain is sonybank.jp.
Submitted URL: https://my-jpbank.jili500.top/#
Effective URL: https://sonybank.jp/corporate/Redirected
AI Security Verdict
High Risk
Confidence: 92%
High‑risk phishing redirect using a brand‑impersonating, newly registered domain.
Risk Factors
Details
Page Title
企業情報｜ソニー銀行（ネット銀行）
Scan Type
public
Language
Japanese
Category
technology software
(95%)Domain Information
The domain name 'my-jpbank.jili500.top' uses the .top top-level domain; it also runs on subdomain 'my-jpbank'. The second-level label 'jili500' is 7 characters long with 2 vowels and two consonants, plus three digits. Splitting it apart reveals three words: jil, i, 500. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 33 | 18.172.112.60 | United States | AS16509AMAZON-02 |
| 1 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 34.8.30.44 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 18.66.112.79 | United States | |
| 1 | 2.23.209.36 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 52.222.214.63 | United States | AS16509AMAZON-02 |
| 1 | 2.23.209.46 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 34.160.20.39 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 161 | 129 | - | - |
Detected Technologies5
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
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