ScanMalware.com

Security Scan Report: wsmluck.com

Redirected to: https://1jiliph.com/?host=https://q9kcst.com?ch=64657

Submitted: Dec 15, 2025, 12:39:24 PMCompleted: Dec 15, 2025, 12:39:49 PMpubliccompleted
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Summary

This website contacted 8 IPs in 0 countries across 2 domains to perform 27 HTTP transactions. The main domain is 1jiliph.com and was registered NaN years ago.

Submitted URL: https://wsmluck.com/ytmzndc2.html

Effective URL: https://1jiliph.com/?host=https://q9kcst.com?ch=64657Redirected

AI Security Verdict

Low Risk

Confidence: 70%

4
Risk Score

New, unranked site promoting gambling rewards; no direct threats detected but caution advised.

Risk Factors
Very new domain (<30 days) with no established reputation
Unranked domain lacking Cisco Umbrella ranking
Promotional content for a gambling/commission scheme on a brand‑new site
Safety Factors
No credential or payment collection forms present
No malicious Indicators of Compromise detected
No external malicious links or redirects to known bad sites
Domain age information unavailable

Details

Page Title

jiliph.cc - The Philippines' No.1 gaming platform

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

gambling betting

(64%)

Domain Information

Domain 'wsmluck.com' uses the commercial generic top-level domain (.com) with no subdomain. The core label 'wsmluck' covers 7 characters split between one vowel and 6 consonants. Breaking it apart gives 3 words: w, sm, luck. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wsmluck.com/ytmzndc2.html

Page Load Overview

2.18s
Total Load Time
27
HTTP Requests
2
Domains
1.1 MB
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:1,063 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting64% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
64%
social media network
38%
entertainment media
30%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.145.23UnknownUnknown
3172.67.186.199UnknownUnknown
3104.21.19.151UnknownUnknown
32606:4700:3035::ac43:bac7UnknownUnknown
32606:4700:3032::ac43:9117UnknownUnknown
32606:4700:3034::6815:4f6bUnknownUnknown
3104.21.79.107UnknownUnknown
32606:4700:3035::6815:1397UnknownUnknown
278--

Detected Technologies4

Open-Graph-Protocolvwebsite
100%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2628872D5DA22BB122382D0363B7F19F297446BEF5A4491B5EE06D44FE7D82CC63058

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:LNsvzk8v+heMq/bTvx44LKudG/aP5FHzTS:LN6GheMq/bzx44WudQahFTW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15174:UMAqIEIMQgcgDAOKIgAEBEG3QQEidGh6TCLfH7lgBIooCBAAoICAmBIGDCHgRENwQHdEBAQCsiCBRVClhkTeghCSBEUg2AAH

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:ff01c11919010101
Perceptual Hash:e8d1e6c4d9d3c2c4
Difference Hash:0dcd151331154d0d
Wavelet Hash:ffe7c7df19010101
Color Hash:#3a931f

Other Hashes

Crop Resistant:0000040204060602,b3b3b3b0b5b4b4b3,0ccd155233154d0d

Scan History

Scan history not available

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