Security Scan Report: codeload.github.com

Redirected to: https://github.com/

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Submitted: Nov 25, 2025, 7:42:21 PMCompleted: Nov 25, 2025, 7:44:53 PMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 7 domains to perform 186 HTTP transactions. The main domain is github.com and was registered NaN years ago.

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

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

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: 95%

0
Risk Score

The site is legitimate and poses no security risk.

Safety Factors
Well-established domain (over 18 years old)
Top 10k Cisco Umbrella ranking
No malicious Indicators of Compromise matches found
No password or payment fields present
Final URL matches official GitHub domain
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

The domain name 'codeload.github.com' uses the commercial generic top-level domain (.com) with subdomain 'codeload'. Its registrable label 'github' stretches across 6 characters split between 2 vowels and four consonants. It segments into three words: g, it, hub. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.13s
Total Load Time
186
HTTP Requests
7
Domains
8.4 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
143185.199.109.154United States
AS54113FASTLY
2313.33.187.25New York, New York, United States
AS16509AMAZON-02
12140.82.113.21United States
AS36459GITHUB
7185.199.108.154Hoover, Alabama, United States
AS54113FASTLY
752.222.136.5United States
AS16509AMAZON-02
7185.199.111.154United States
AS54113FASTLY
7185.199.110.154United States
AS54113FASTLY
752.222.136.93United States
AS16509AMAZON-02
713.33.187.102New York, New York, United States
AS16509AMAZON-02
713.33.187.16New York, New York, United States
AS16509AMAZON-02
18624--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16AC419B260B0D639504F53D7F0F02A14F6E71367D3828AD8F15DCA6487CA99CE9436AB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:2rcrRqKwWJM6wVdJQJLLBnkEVlD0DyWFbTvZJT3CqQrhryf65NRPaCieMjdvCJvI:2rc9OVGW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:589430:oMAKQOABhsiAbhfUYrkgctIKAEACFKQDdApk8aSUKBA0NORAGmPiQEgRlsAoOgACECKAgYgo0UGBGaCMA4yRA/UKoIRARcCA

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:00003c2c3c3c3c7e
Perceptual Hash:c239cc39c638cb9b
Difference Hash:33f9f8cce8e8c4c4
Wavelet Hash:01007e7c3c7c7c7e
Color Hash:#402dd2

Scan History

Scan history not available

Unable to load historical scan data