Security Scan Report: halfetitur.com

Redirected to: https://www.smbcnikko.co.jp/

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Submitted: Dec 4, 2025, 7:14:51 AMCompleted: Dec 4, 2025, 7:17:42 AMpubliccompleted
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Summary

This website contacted 224 IPs in 5 countries across 60 domains to perform 239 HTTP transactions. The main domain is smbcnikko.co.jp.

Submitted URL: https://halfetitur.com/?token=r2I0IU0FEHfPf5Dn

Effective URL: https://www.smbcnikko.co.jp/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site redirects to the legitimate SMBC Nikko Securities website with no security concerns.

Safety Factors
Official brand domain used as final destination
No suspicious forms or data collection
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

SMBC日興証券

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

education learning

(97%)

Domain Information

Within the commercial generic top-level domain (.com), 'halfetitur.com' is registered while skipping any subdomain. The second-level label 'halfetitur' is 10 characters long with four vowels and six consonants. Tokenizing the label suggests four words: half, et, it, ur. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://halfetitur.com/?token=r2I0IU0FEHfPf5Dn

Page Load Overview

8.46s
Total Load Time
239
HTTP Requests
60
Domains
17.0 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:4,450 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning97% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
97%
corporate business
74%
finance banking
68%
government public service
44%
corporate
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
942.17.184.214Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
23142.250.185.110United States
AS15169GOOGLE
1654.64.192.178Tokyo, Tokyo, Japan
AS16509AMAZON-02
9142.250.185.200United States
AS15169GOOGLE
6172.217.18.3United States
AS15169GOOGLE
6142.250.185.195United States
AS15169GOOGLE
6142.250.185.246United States
AS15169GOOGLE
5142.250.185.98United States
AS15169GOOGLE
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5142.250.185.130United States
AS15169GOOGLE
239224--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D8F36229DDF5103B41638185AAA5AB39798AD607C9066C00B2FD4F9D9FCBDC7CC0726E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3OTviHs6gTgNQm1yhfLG7k4ud6xZFkpUJ10ZLQm1yuktfRfjfhQw+aqmiwQnidLe:CkJQlaqmuidAkT1Js8i5kwKK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:164671:wA0ECQRhAEOQQEtAo2FNJFDkMGQbBCwFzUUZLiS/AyAYBUOAE4SAga0hBcJLgFqggEZK1ABiZqAaCBYAhgCGMJCUoEYAGggg

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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