Security Scan Report: github.com

Submitted: Dec 5, 2025, 11:56:41 AMCompleted: Dec 5, 2025, 11:58:28 AMpubliccompleted
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Summary

This website contacted 19 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: 98%

0
Risk Score

The site is a legitimate, well‑established GitHub domain with no security concerns.

Safety Factors
Established, reputable domain
High Cisco Umbrella ranking
Legitimate brand presence
Standard, non‑sensitive forms only (search, email signup)
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'github.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'github' stretches across 6 characters split between 2 vowels and 4 consonants. Breaking it apart gives three words: g, it, hub. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.06s
Total Load Time
183
HTTP Requests
5
Domains
7.1 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

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
142185.199.109.154United States
AS54113FASTLY
2213.33.187.25New York, New York, United States
AS16509AMAZON-02
13140.82.114.22United States
AS36459GITHUB
913.33.187.2New York, New York, United States
AS16509AMAZON-02
9185.199.111.154United States
AS54113FASTLY
913.33.187.102New York, New York, United States
AS16509AMAZON-02
913.33.187.16New York, New York, United States
AS16509AMAZON-02
9185.199.108.154Hoover, Alabama, United States
AS54113FASTLY
9185.199.110.154United States
AS54113FASTLY
92600:9000:235a:5a00:12:94b3:c380:93a1United States
AS16509AMAZON-02
18319--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A945CF5B1A4E37D408743EAF6710824F7A614DAE316C895C67ECBE442C38CCE6A3596

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:jaxmGoJXq9WAyxxb4bbPFI7LSCND3y2mSOlRfh9a0YNBzQdYpNH5gK8uMZFfIZdn:jaxmG6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:409967:RcJ29BoFYQLAB2ggcEGEYwAAHZEN0dgACpFIIgYaTsA4jBAUQQ+IBppTfTYLAoCQEVYQxcQ8E4vEpeh1CsIAwB5UCOUCAEcA

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:00001c19fb3f3c04
Perceptual Hash:887753aca45b17e4
Difference Hash:063370b32773f1dc
Wavelet Hash:00183c1bff3f3c5c
Color Hash:#1f9344

Scan History

Scan history not available

Unable to load historical scan data