Security Scan Report: github.com

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Submitted: Nov 24, 2025, 11:53:02 AMCompleted: Nov 24, 2025, 11:55:33 AMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 6 domains to perform 182 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: 98%

0
Risk Score

GitHub site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (over 18 years old)
Cisco Umbrella Top 10k ranking (1803)
No malicious Indicators of Compromise matches found
No password or payment forms present
Final URL matches official GitHub domain
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(68%)

Domain Information

Within the commercial generic top-level domain (.com), 'github.com' is registered. The second-level label 'github' is 6 characters long containing 2 vowels alongside four consonants. Splitting it apart reveals 3 words: g, it, hub. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://github.com/

Page Load Overview

1.23s
Total Load Time
182
HTTP Requests
6
Domains
8.4 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:8,715 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software68% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
68%
corporate business
46%
documentation technical
34%

Detected Features

Search
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143185.199.110.154United States
AS54113FASTLY
2313.33.187.2New York, New York, United States
AS16509AMAZON-02
21185.199.108.154Hoover, Alabama, United States
AS54113FASTLY
10140.82.114.21United States
AS36459GITHUB
7140.82.112.21United States
AS36459GITHUB
752.222.136.5United States
AS16509AMAZON-02
7185.199.111.154United States
AS54113FASTLY
713.33.187.16New York, New York, United States
AS16509AMAZON-02
7185.199.109.154United States
AS54113FASTLY
752.222.136.93United States
AS16509AMAZON-02
18224--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8C419B260B0D639504F53D7F0F02A14F6E71367D3828AD8F15DCA6487CA99CE9436AB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:Er1rRgKwWJM6wVdJQJLLBnkEVlD0DyW3b1vZJT3CqQrhryf65NRPaCieMjdvCJvu:Er19dGZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:588968:aIwqCQoWACpMwIMZa2xCmRh8CyAjBRUhOOAABLUpYRE8MIHSEiCg2EJBCADhFgUASMQ1IIUwrJAFVRMUDBAAiAAHMNDYhFY5

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:00001c19fb3f3c0c
Perceptual Hash:887753aca45b17e4
Difference Hash:063370b32773f1dc
Wavelet Hash:00183c19ff3f7c5c
Color Hash:#2d7386

Scan History

Scan history not available

Unable to load historical scan data