Security Scan Report: github.com

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Submitted: Nov 5, 2025, 10:06:35 AMCompleted: Nov 5, 2025, 10:08:33 AMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 6 domains to perform 179 HTTP transactions. The main domain is github.com.

Submitted URL: https://github.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate GitHub site with no security concerns.

Safety Factors
Official brand domain
No credential harvesting forms
No payment collection fields
No malicious Indicators of Compromise detected
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

(73%)

Domain Information

You're looking at domain 'github.com' on the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'github' stretches across 6 characters containing 2 vowels alongside four consonants. Word splitting yields three words: g, it, hub. Average segment length settles at two characters. 'g' most strongly signals English. It also appears in Chinese (Pinyin) and Chinese (Zhuyin) contexts.

Screenshot

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

Page Load Overview

61.03s
Total Load Time
179
HTTP Requests
6
Domains
4.7 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:8,951 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion73% confidence
Type: webapp
Method: ml+structural

All Detected Categories

forum community discussion
73%
technology software
72%
documentation technical
56%
corporate business
32%

Detected Features

Search
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
713.33.187.102New York, New York, United States
AS16509AMAZON-02
7140.82.121.4Frankfurt am Main, Hesse, Germany
AS36459GITHUB
7185.199.110.154United States
AS54113FASTLY
718.66.122.76United States
AS16509AMAZON-02
7140.82.114.22United States
AS36459GITHUB
7185.199.111.154United States
AS54113FASTLY
7140.82.121.5Frankfurt am Main, Hesse, Germany
AS36459GITHUB
7185.199.108.154Hoover, Alabama, United States
AS54113FASTLY
7185.199.109.154United States
AS54113FASTLY
713.33.187.16New York, New York, United States
AS16509AMAZON-02
17924--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17EC429B260B0D639114F53D6F0F16A14F3E71366D3828AE8F55CCB6487CA99CE9432A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:DrHnjmEOXjuFNWOcCpwhg0sqxBVxz9Cgolet4QjOpbbjvZJT3CqQrhryf65NRPaK:DrHjvTE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:596052:bargZUyjyRA5AKEMXhGiVAdNAcQCohWjYRoAVoEEUoQLs0AoZSIKLQhSIDCIVkCpSWIyBSBMEdIcQdOcQiNxYADCCfwCFSsH

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:00083c19fb1b3c0c
Perceptual Hash:8d7251ada65015ef
Difference Hash:063370332372f0dc
Wavelet Hash:00183c19fb3f3c7e
Color Hash:#4c783a

Scan History

Scan history not available

Unable to load historical scan data