Security Scan Report: appleko.io

Submitted: Nov 14, 2025, 1:42:24 AMCompleted: Nov 14, 2025, 1:43:41 AMpubliccompleted
Loading additional data...

Summary

This website contacted 11 IPs in 0 countries across 3 domains to perform 8 HTTP transactions. The main domain is appleko.io and was registered NaN years ago.

Submitted URL: https://appleko.io/contact

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Phishing site impersonating Apple/LinkedIn; avoid and report.

Risk Factors
Brand impersonation on an unranked, recently registered domain
Unranked domain with low reputation
Recent domain registration (< 180 days)
Personal data collection via contact form without clear legitimate purpose
Domain age information unavailable

Details

Page Title

Contact Eelink IoT Solutions | Connect with Our Team

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(33%)

Domain Information

You're looking at domain 'appleko.io' on the British Indian Ocean Territory country-code top-level domain (.io). The second-level label 'appleko' is 7 characters long with 3 vowels and four consonants. Segmentation suggests two words: apple, ko. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appleko.io/contact

Page Load Overview

47.96s
Total Load Time
8
HTTP Requests
3
Domains
189 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,054 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business33% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8188.114.97.3UnknownUnknown
0188.114.96.3UnknownUnknown
0142.250.181.227UnknownUnknown
0172.217.18.3UnknownUnknown
0142.250.181.234UnknownUnknown
0142.250.184.227UnknownUnknown
0142.250.185.170UnknownUnknown
02a06:98c1:3120::3UnknownUnknown
02a00:1450:4001:82f::200aUnknownUnknown
02a00:1450:4001:803::2003UnknownUnknown
811--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13113510429F288A550FB98DC53735A2999F48303D909C98CFE8D8BF58F7A95CDB33649

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:DwJQb5U65Uw8+nCWtVDc8TkenKZcEfqDFCHUEzSEI:cJQ1pUwzVDc8QnfqDFyPmEI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44159:BggQQcgYgkUExQRMghVQNCAU0EDF1JAMYGAaR3iggAOgIZlEhCBBYjUeWEHWlQBRJOKKSKACdsAYIKKUMQSLAIsZiQQIgmji

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:00000000ffffffff
Perceptual Hash:8402c5fcbb3bacc5
Difference Hash:7fe7e7ff36360666
Wavelet Hash:00000000ffffffff
Color Hash:#c587bd

Scan History

Scan history not available

Unable to load historical scan data