Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 96 HTTP transactions. The main domain is github.com and was registered NaN years ago.
Submitted URL: https://github.com
The Cisco Umbrella rank of the primary domain is #1,803 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 95%
The site is the legitimate GitHub domain with no security concerns.
Safety Factors
Details
Page Title
GitHub · Change is constant. GitHub keeps you ahead. · GitHub
Scan Type
public
Language
English
Category
forum community discussion
(71%)Domain Information
Within the commercial generic top-level domain (.com), 'github.com' is registered and has no subdomain. Its registrable label 'github' stretches across 6 characters holding two vowels versus 4 consonants. Word splitting yields 3 words: g, it, hub. Average segment length settles at two 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 |
|---|---|---|---|
| 80 | 185.199.109.154 | United States | AS54113FASTLY |
| 2 | 140.82.121.4 | Unknown | Unknown |
| 1 | 13.33.187.102 | Unknown | Unknown |
| 0 | 3 | - | - |
Detected Technologies2
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
Unable to load historical scan data