Summary
This website contacted 22 IPs in 3 countries across 6 domains to perform 35 HTTP transactions. The main domain is fm.adam.kg.
Submitted URL: https://fm.adam.kg/kyrgyzstan/kyrgyz-people/
AI Security Verdict
Safe Website
Confidence: 78%
No suspicious activity detected; site appears legitimate.
Safety Factors
Details
Page Title
Adam University School of Medicine
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'fm.adam.kg' uses the Kyrgyz country-code top-level domain (.kg); it also runs on subdomain 'fm'. Its registrable label 'adam' stretches across 4 characters holding 2 vowels versus 2 consonants. Segmentation suggests 1 word: adam. Median word length comes out to 4 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 |
|---|---|---|---|
| 14 | 151.101.1.229 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 1 | 216.58.212.131 | United States | AS15169GOOGLE |
| 1 | 104.18.1.22 | United States | AS13335CLOUDFLARENET |
| 1 | 178.217.174.230 | Kyrgyzstan | AS197119Kyrgyz research and education network association |
| 1 | 142.250.185.234 | United States | AS15169GOOGLE |
| 1 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.186.131 | United States | AS15169GOOGLE |
| 1 | 151.101.129.229 | San Francisco, California, United States | AS54113FASTLY |
| 35 | 22 | - | - |
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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