Security Scan Report: loveapple.icu

Submitted: Jan 23, 2026, 8:52:20 AMCompleted: Jan 23, 2026, 8:53:52 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 7 domains to perform 12 HTTP transactions. The main domain is loveapple.icu and was registered NaN years ago.

Submitted URL: https://loveapple.icu/Keil2Cmake/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low‑risk site offering a Keil‑to‑CMake conversion tool; no malicious activity detected.

Safety Factors
Domain registration date is known
Absence of login/password or payment fields
No malicious Indicators of Compromise detected
Content appears to be a personal utility tool
Domain age information unavailable

Details

Page Title

一个自制的Keil2Cmake转换器小工具 | LoveApple14434的主页

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

documentation technical

(71%)

Domain Information

Domain 'loveapple.icu' uses the .icu top-level domain. The core label 'loveapple' covers 9 characters with 4 vowels and 5 consonants. Tokenizing the label suggests two words: love, apple. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://loveapple.icu/Keil2Cmake/

Page Load Overview

2.21s
Total Load Time
67
HTTP Requests
9
Domains
3.5 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh
Text Length:3,670 chars
Detector Agreement:60%

Website Classification

Primary Category

documentation technical71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
71%
technology software
67%
blog personal website
59%
education learning
56%
phishing scam
55%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13188.114.97.3United States
AS13335CLOUDFLARENET
9104.243.17.131Los Angeles, California, United States
AS25820IT7NET
976.223.126.88United States
AS16509AMAZON-02
9104.16.79.73United States
AS13335CLOUDFLARENET
9104.16.175.226United States
AS13335CLOUDFLARENET
9104.18.67.220United States
AS13335CLOUDFLARENET
9216.58.212.136United States
AS15169GOOGLE
677--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T104432AB141A51433412799DDB2ABE72AB1E7401FE60B4DE4B7FC87D84FC9E7160E260A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:8Ual23+CPfLTZoZShC5ELCtY3/N8g6cWBj0ChsbSbOzBZsHioylnqMRp0d4q2lLH:ECPCBcp0d4q2lL+e31siL72+uqdlx/9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58116:AMZgugwiojplqTLAagZhACKAiEAADAAERhB0IzcVOGUyBx9BoRMElDEEgQYowNgGiAAFEKh6CYDMyTRaRF1lzlLwgJE8ZoAQ

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:000000ffffffffff
Perceptual Hash:d674789b9a2a6c4c
Difference Hash:0004c4e4f0f8f0f0
Wavelet Hash:00000000ffffffff
Color Hash:#3a785c

Scan History

Scan history not available

Unable to load historical scan data