Security Scan Report: www.github.com

Redirected to: https://github.com/

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Submitted: Sep 27, 2025, 3:31:59 PMCompleted: Sep 27, 2025, 3:33:42 PMpubliccompleted
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Summary

This website contacted 23 IPs in 2 countries across 3 domains to perform 50 HTTP transactions. The main domain is github.com and was registered NaN years ago.

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: 99%

0
Risk Score

GitHub is a legitimate, well‑established platform with no malicious Indicators of Compromise.

Safety Factors
Well‑established domain with minimal risk level
No phishing or malware indicators detected
Standard hosting environment
No sensitive data collection forms
Brand matches official GitHub domain
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Screenshot

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

Page Load Overview

56.78s
Total Load Time
50
HTTP Requests
3
Domains
894 KB
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:8,993 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%

Detected Features

Search
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6185.199.109.154United States
AS54113FASTLY
2185.199.108.154Hoover, Alabama, United States
AS54113FASTLY
2185.199.111.154United States
AS54113FASTLY
213.33.187.16New York, New York, United States
AS16509AMAZON-02
213.33.187.25New York, New York, United States
AS16509AMAZON-02
213.33.187.2New York, New York, United States
AS16509AMAZON-02
2140.82.114.21United States
AS36459GITHUB
213.33.187.102New York, New York, United States
AS16509AMAZON-02
218.66.122.79United States
AS16509AMAZON-02
2185.199.110.154United States
AS54113FASTLY
16423--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1845CF5B1A4E3BD408743EFF6714824F7A614DAE316D885C66ECBE442C38CCE662586

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:TmPPoJXq9WAyxxb4bbPFI7LiCND3y2dSElRfh9a0YNBzQdYpNH5gK8uMZFfIZdnR:Tm3v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:405701:CqTlkUQAoCDJACEYAoAFUIgM84hQJYkLQBcARFCFAAGu5giCFqfsBAfahECpACNqCsgAMNCRAhQAwQuLAEFBk0AieIQBCyAQ

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:#e07b6c

Scan History

Scan history not available

Unable to load historical scan data