Summary
API
Submitted URL: https://ios.app-lmaxex.top/
AI Security Verdict
Confirmed Scam
Confidence: 88%
Lookalike domain impersonating LMAX that pushes a same-site APK and an iOS configuration-profile install — mobile malware distribution, not a real app download. Do not install.
Risk Factors (5)
Details
Page Title
LMAX
Scan Type
public
Domain Name Analysis
You're looking at domain 'ios.app-lmaxex.top' on the .top top-level domain and includes subdomain 'ios'. The second-level label 'app-lmaxex' is 10 characters long split between 3 vowels and six consonants, plus one hyphen. Segmentation suggests 4 words: app, l, max, ex. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 4 | 200.222.225.170 | Hong Kong, Hong Kong | AS140227Hong Kong Communications International Co., Limited |
| 3 | 200.222.225.169 | Hong Kong, Hong Kong | AS140227Hong Kong Communications International Co., Limited |
| 3 | 200.222.225.173 | Hong Kong, Hong Kong | AS140227Hong Kong Communications International Co., Limited |
| 10 | 3 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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