Security Scan Report: apple-tk.win

Redirected to:
http://www.apple-tk.win/
Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is apple-tk.win and was registered 2 weeks ago.

Submitted URL: http://apple-tk.win

Effective URL:
http://www.apple-tk.win/
Redirected

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

New unranked domain with a single-source phishing threat-intelligence report and no visible credential forms; treat as high-risk and avoid entering any data.

Risk Factors (3)
Single-source phishing threat-intelligence report on the primary domain/URL.
Very new domain (11 days old) with no established reputation.
Generic connection-information page on a domain whose name does not match the displayed content.
Domain age information unavailable

Details

Page Title

接続情報

Scan Type

public

Domain Name Analysis

The domain 'apple-tk.win' uses the .win top-level domain. The core label 'apple-tk' covers 8 characters holding 2 vowels versus 5 consonants, notching 1 hyphen. Segmentation suggests two words: apple, tk. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

HERO AR IPPELA 178.63.16.224 YN-ADNS hetzner5.triop.se Hetta Kf VeHAIa Y Ot ii Falkenstein IsP Hetzner Online GmbH FNTR Wyay os Windows 10/11 FOF Chrome

Page Load Overview

1.82s
Total Load Time
4 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ja
Text Length:200 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property47% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
47%
documentation technical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3219.94.129.174Japan
AS9371SAKURA Internet Inc.
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD71FE6776B5103315A3E09539B6E70E3AA2E907D90BD6847AAC4BD04FC7D55DC230A0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:80lfTyKRHKJRnZIMq13m5AmL3ufwkUEpI8aj:80lfmKRHKJRZIZgkDpI8aj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3530:AJAAACEMAACCMAEBEgAAAAgIBAAJIICBBTAAgIKIEACARCQIAQCgCAAmIIAACAGAEEiDiAEJCHgwAQACGEAAAEECAIQAAABQ

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:cfcfcfcfdfffffff
Perceptual Hash:99396367316366cc
Difference Hash:98989898b0100000
Wavelet Hash:c8dcccdcdcfcc0c0
Color Hash:N/A

Other Hashes

Crop Resistant:98989898b0100000

Scan History

Scan history not available

Unable to load historical scan data