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Security Scan Report: github.com

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Submitted: Dec 20, 2025, 5:13:25 PMCompleted: Dec 20, 2025, 5:14:13 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 5 domains to perform 183 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: 96%

0
Risk Score

Legitimate site with no security concerns detected.

Safety Factors
Established, well‑known brand
High reputation ranking
Secure HTTPS connection
No credential‑harvesting forms
Domain age information unavailable

Details

Page Title

GitHub · Change is constant. GitHub keeps you ahead. · GitHub

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum community discussion

(71%)

Domain Information

Domain 'github.com' uses the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'github' spans 6 characters with two vowels and four consonants. Breaking it apart gives 3 words: g, it, hub. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://github.com

Page Load Overview

4.87s
Total Load Time
183
HTTP Requests
5
Domains
7.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:8,938 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion71% confidence
Type: webapp
Method: ml+structural

All Detected Categories

forum community discussion
71%
technology software
70%
documentation technical
53%
corporate business
27%

Detected Features

Search
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2313.33.187.102New York, New York, United States
AS16509AMAZON-02
16140.82.121.3Frankfurt am Main, Hesse, Germany
AS36459GITHUB
1613.33.187.16New York, New York, United States
AS16509AMAZON-02
16140.82.121.6Frankfurt am Main, Hesse, Germany
AS36459GITHUB
16185.199.111.154United States
AS54113FASTLY
16185.199.110.154United States
AS54113FASTLY
16185.199.109.154United States
AS54113FASTLY
1613.33.187.2New York, New York, United States
AS16509AMAZON-02
1613.33.187.25New York, New York, United States
AS16509AMAZON-02
16185.199.108.154United States
AS54113FASTLY
18311--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18AC419B260B0D639114F53D6F0F16A14F3E71366D3828AE8F55CCB6487CA99CE9432A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:zrpKXviOXju7NWOcCpwhg0sqxBVxz9Cgolet4QjOpsb2vZJT3CqQrhryf65NRPa/:zrpIhNE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:595532:NKMwTuPWUR5oCXAAy1MBCDGyAksIG5gBFBjAQGASo6UQCaCYIgQ0TCAIJUBJYFtBoAT0RQSDIkgGeh7Gm4N8kBLAANbjgpRC

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

Average Hash:00003c2c3c3c3c7e
Perceptual Hash:c239cc39c638cb9b
Difference Hash:33f9f8cce8e8c4c4
Wavelet Hash:01007e7c3c7c7c7e
Color Hash:#2e2d86

Other Hashes

Crop Resistant:697935aaab515923,5979e7764c226a44,544556ad29d2c5d5,82129262641302d0,33f9f8cce8e8c4c4

Scan History

Scan history not available

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