Summary
This website contacted 10 IPs in 3 countries across 11 domains to perform 64 HTTP transactions. The main domain is research.gatech.edu and was registered NaN years ago.
Submitted URL: https://research.gatech.edu/people/ravi-bellamkonda
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 research page with no security concerns.
Safety Factors
Details
Page Title
Ravi Bellamkonda | Research
Scan Type
public
Language
English
Category
government public service
(49%)Domain Information
Domain 'research.gatech.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'research'. The core label 'gatech' covers 6 characters containing 2 vowels alongside four consonants. It segments into 2 words: gate, ch. Average segment length settles 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 | 104.16.175.226 | United States | |
| 6 | 142.250.187.227 | United States | AS15169Google LLC |
| 6 | 104.18.11.207 | United States | AS13335Cloudflare, Inc. |
| 6 | 23.32.238.235 | Unknown | |
| 6 | 142.250.187.234 | United States | AS15169Google LLC |
| 6 | 130.207.49.8 | Atlanta, Georgia, United States | AS2637Georgia Institute of Technology |
| 6 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 6 | 142.251.208.8 | United States | AS15169Google LLC |
| 6 | 104.18.40.68 | United States | AS13335Cloudflare, Inc. |
| 6 | 23.32.238.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 62 | 10 | - | - |
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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