Security Scan Report: my.jcb.co.jp

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Submitted: Oct 6, 2025, 2:27:14 PMCompleted: Oct 6, 2025, 2:28:23 PMpubliccompleted
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Summary

This website contacted 24 IPs in 3 countries across 5 domains to perform 70 HTTP transactions. The main domain is my.jcb.co.jp.

Submitted URL: https://my.jcb.co.jp/DirectLogin?transition_id=1200201

The Cisco Umbrella rank of the primary domain is #635,968 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 82%

2
Risk Score

The site appears to be the legitimate JCB MyJCB portal despite low ranking and unknown age.

Risk Factors
Low Cisco Umbrella ranking (635,968) for the subdomain
Domain age could not be determined (reported as None days)
Tool flagged a hidden password field, though the form appears normal
Safety Factors
Official brand name matches the official domain
Page content and language are consistent with JCB's legitimate service
No external links or suspicious redirects
Domain age information unavailable

Details

Page Title

JCBの会員専用WEBサービス「MyJCB(マイジェーシービー)」

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

blog personal website

(66%)

Domain Information

Domain 'my.jcb.co.jp' uses the Japanese country-code top-level domain (.co.jp) and includes subdomain 'my'. Count 3 characters in 'jcb' with 0 vowels and 3 consonants. Segmentation suggests 2 words: j, cb. The median word length lands at 1.5 characters. Most frequently, 'j' shows up in Sinhala. It also appears in French and Chinese (Pinyin) contexts. Overall, 'my.jcb.co.jp' reads as Sinhala.

Screenshot

Security scan screenshot of https://my.jcb.co.jp/DirectLogin?transition_id=1200201

Page Load Overview

51.32s
Total Load Time
70
HTTP Requests
5
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:80%
Script:Mixed
Direction:ltr

Detection Details

Language Code:ja
Detection Confidence:80%
Script Type:Mixed
HTML Lang Attribute:ja
Text Length:1,378 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website66% confidence
Type: spa
Method: ml+structural

All Detected Categories

blog personal website
66%
documentation technical
61%
phishing scam
58%
technology software
55%
corporate business
53%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.33.187.32New York, New York, United States
AS16509AMAZON-02
223.52.181.12Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
263.140.62.200United States
AS16509AMAZON-02
235.201.65.224Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2210.164.12.136Tokyo, Tokyo, Japan
AS4713NTT Communications Corporation
22600:9000:235a:9e00:7:2bfb:7c00:93a1UnknownUnknown
22600:9000:235a:800:7:2bfb:7c00:93a1UnknownUnknown
22600:9000:235a:4e00:7:2bfb:7c00:93a1UnknownUnknown
22600:9000:235a:be00:7:2bfb:7c00:93a1UnknownUnknown
263.140.62.172UnknownUnknown
7024--

Page Statistics

70
Requests
8
Unique Domains
1.5 MB
Total Size

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF734D4D04F01F37002360A0A69E6B84B17ADA17D2C4EA00BDECB5E46FD9F66D46FAD5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:1wjhDa/QQADNFcR/8dfDBoS4ke5LPT5F1qQk+X:1w1ecn4ke5LPT5Ftk+X

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75213:QBBJgFAIBgAABgYEpLoIgS9gQEq4BAmVMmhAIIUIBSTDEK8RIOK1PGMEwCCL4EiAMhElcAogRCAFQgGpoEggAAwIHEhQFYBW

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:ffc3003e32403032
Perceptual Hash:ecb8ecb8c6c63831
Difference Hash:203e1e48d6966466
Wavelet Hash:ffcf007c70417171
Color Hash:#79bcd2

Other Hashes

Crop Resistant:203e1e48d6966466

Scan History

Scan history not available

Unable to load historical scan data