Summary
API
This website contacted 4 IPs in 3 countries across 11 domains to perform 75 HTTP transactions. The main domain is mwashcyber.co.ke and was registered 2 years 7 months ago.
Submitted URL: https://mwashcyber.co.ke
AI Security Verdict
Safe Website
Confidence: 85%
The site shows its own brand, has no phishing or malware indicators, and is likely legitimate.
Safety Factors (4)
Details
Page Title
Mwash Cyber Cafe Services
Scan Type
public
Domain Name Analysis
The domain 'mwashcyber.co.ke' uses the Kenyan country-code top-level domain (.co.ke) and has no subdomain. Its registrable label 'mwashcyber' stretches across 10 characters with two vowels and 8 consonants. It segments into three words: m, wash, cyber. Average segment length settles at four 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 |
|---|---|---|---|
| 21 | 102.218.215.133 | South Africa | AS329184Host Africa (Pty) Ltd |
| 18 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 18 | 142.250.154.139Google · CDN | United States | AS15169Google LLC |
| 18 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 75 | 4 | - | - |
Detected Technologies8
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
Unable to load historical scan data