Security Scan Report: docs.github.com

Redirected to: https://docs.github.com/en

Submitted: Jan 13, 2026, 2:24:03 PMCompleted: Jan 13, 2026, 2:28:50 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 38 HTTP transactions. The main domain is docs.github.com and was registered NaN years ago.

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

Effective URL: https://docs.github.com/enRedirected

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 legitimate and poses no security risk.

Safety Factors
Established domain with long registration history
Official GitHub documentation domain
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

GitHub Docs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

Domain 'docs.github.com' uses the commercial generic top-level domain (.com), featuring subdomain 'docs'. The registrable portion 'github' spans 6 characters containing 2 vowels alongside four consonants. It segments into 3 words: g, it, hub. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.25s
Total Load Time
37
HTTP Requests
1
Domains
444 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:2,786 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
64%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37185.199.111.154United States
AS54113FASTLY
371--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D17309A29028A53F020347CDBAB26758D3AEE01FF29918649E7FD77942D7DE4E713148

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sgeTX1emUBPx8etxofPx8etwFhp+bD6xj3qG+86Qhd5GLj81mt+IGITI5uozIZIi:1wX9UBzxofzwFh4Pqb+86Qhd5GLj81lU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79302:o9SI8EYDVcYQIAAZVCVLhYJSRIIAJYAzKY7srMgUQCJ8gUmsdaoJQwHWAEYKAEsrAAgECfcEWUaDE6CNBomMgEAAsaBqBgoR

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:fce4243efffffbff
Perceptual Hash:d656faa8ad0d1685
Difference Hash:b4ccec780a27237a
Wavelet Hash:3c240420b7f793bf
Color Hash:#aca353

Other Hashes

Crop Resistant:b4ccec780a27237a

Scan History

Scan history not available

Unable to load historical scan data