Summary
This website contacted 25 IPs in 2 countries across 8 domains to perform 12 HTTP transactions. The main domain is xklusif.my and was registered NaN years ago.
Submitted URL: https://xklusif.my/wp-admin/css/colors/coffee/pw/[email protected]
AI Security Verdict
High Risk
Confidence: 92%
The site is a high‑risk phishing page harvesting email credentials; avoid and report.
Risk Factors
Details
Page Title
1freebitcoin - MAIL SYSTEM Sign in to continue
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(58%)Domain Information
The domain 'xklusif.my' uses the Malaysian country-code top-level domain (.my) and has no subdomain. Its registrable label 'xklusif' stretches across 7 characters split between two vowels and five consonants. Tokenizing the label suggests four words: x, kl, us, if. Median word length is 2 characters. Most frequently, 'x' shows up in English. Usage also turns up in Danish and Norwegian contexts. Net impression: English phrase.
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 |
|---|---|---|---|
| 12 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.185.132 | United States | AS15169GOOGLE |
| 0 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.181.234 | United States | AS15169GOOGLE |
| 0 | 44.220.103.54 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 0 | 216.58.212.163 | United States | AS15169GOOGLE |
| 0 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 0 | 151.101.193.229 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 146.75.120.193 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 0 | 3.216.64.194 | United States | Unknown |
| 12 | 25 | - | - |
Detected Technologies6
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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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