Security Scan Report: www.github.com

Redirected to:
https://github.com/
Submitted: Completed: publiccompleted
This website contacted 24 IPs in 2 countries across 3 domains to perform 50 HTTP transactions. The main domain is github.com.

Submitted URL: https://www.github.com/

Effective URL:
https://github.com/
Redirected

The Cisco Umbrella rank of the primary domain is #1,804 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

GitHub appears legitimate with no signs of phishing, malware, or other scams.

Safety Factors (4)
Well‑known, established brand (GitHub)
No malicious Indicators of Compromise
No login or payment forms present
No noindex meta tags or hidden deceptive elements
Domain age information unavailable

Details

Page Title

GitHub · Build and ship software on a single, collaborative platform · GitHub

Scan Type

public

Screenshot

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

Page Load Overview

1.49s
Total Load Time
1.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,993 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
82%
corporate business
54%
documentation technical
53%
education learning
27%
e-commerce
20%

Detected Features

Login Form
Products
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
418.66.122.27United States
AS16509AMAZON-02
2140.82.121.3Frankfurt am Main, Hesse, Germany
AS36459GITHUB
218.66.122.76United States
AS16509AMAZON-02
2140.82.112.22United States
AS36459GITHUB
2185.199.111.154United States
AS54113FASTLY
2185.199.109.154United States
AS54113FASTLY
213.33.187.102New York, New York, United States
AS16509AMAZON-02
2185.199.110.154United States
AS54113FASTLY
213.33.187.16New York, New York, United States
AS16509AMAZON-02
213.33.187.25New York, New York, United States
AS16509AMAZON-02
16324--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD844CF5B1A4E3BD408743EBF6714814F7A614DAE316D885C66ECBE442C38CCE6A3586

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:0mPPoJXq9WAyxxb4bbPFI7LicVND3y2FSmlRfh9a0YNBzQdYpNH5gK8uMZFfIZdO:0m3m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:406333:K8JEGkVrhoFdiTGmFYDtRKAZJMlBMMDhvNDhIAACKAmyWRMC0AkAiWAgAoyOAiE4QUJAjQphCR4FiAQK8gQCOYIjSGKI6Yjh

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:ff003c3810007e5e
Perceptual Hash:cecab1f0e4c6b192
Difference Hash:96617961601ffc9a
Wavelet Hash:ff183c3800007fff
Color Hash:#7f53ac

Scan History

Scan history not available

Unable to load historical scan data