Summary
API
This website contacted 10 IPs in 1 country across 6 domains to perform 71 HTTP transactions. The main domain is bme.gatech.edu and was registered 8 years ago.
Submitted URL: https://bme.gatech.edu/bio/denis-tsygankov
The Cisco Umbrella rank of the primary domain is #60,084 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Georgia Tech faculty profile page with no phishing, malware, or scam indicators.
Safety Factors
Details
Page Title
Denis Tsygankov | GT Biomedical Engineering
Scan Type
public
Domain Name Analysis
You're looking at domain 'bme.gatech.edu' on the sponsored educational top-level domain (.edu), featuring subdomain 'bme'. The core label 'gatech' covers 6 characters with two vowels and four consonants. Splitting it apart reveals 2 words: gate, ch. The median word length lands at 3 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 |
|---|---|---|---|
| 8 | 151.101.194.216Fastly · CDN | United States | AS54113Fastly, Inc. |
| 7 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 7 | 151.101.130.216Fastly · CDN | United States | AS54113Fastly, Inc. |
| 7 | 151.101.2.216Fastly · CDN | United States | AS54113Fastly, Inc. |
| 7 | 151.101.66.216Fastly · CDN | United States | AS54113Fastly, Inc. |
| 7 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 7 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 7 | 142.251.127.155Google · CDN | United States | AS15169Google LLC |
| 7 | 142.250.154.94Google · CDN | United States | AS15169Google LLC |
| 7 | 216.239.34.36Google · CDN | United States | AS15169Google LLC |
| 71 | 10 | - | - |
Detected Technologies12
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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