ScanMalware.com

Security Scan Report: raw.githubusercontent.com

Redirected to: https://github.com/

Site favicon
Submitted: Dec 3, 2025, 9:15:23 PMCompleted: Dec 3, 2025, 9:17:12 PMpubliccompleted
Loading additional data...

Summary

This website contacted 28 IPs in 2 countries across 6 domains to perform 185 HTTP transactions. The main domain is github.com.

Submitted URL: https://raw.githubusercontent.com/

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

The Cisco Umbrella rank of the primary domain is #585,464 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The page is a legitimate GitHub marketing page with no security concerns.

Safety Factors
Official brand domain (github.com) confirmed
No credential or payment collection forms
Page content aligns with known GitHub marketing pages
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

(71%)

Domain Information

The domain 'raw.githubusercontent.com' uses the commercial generic top-level domain (.com) and includes subdomain 'raw'. The core label 'githubusercontent' covers 17 characters holding six vowels versus 11 consonants. Word splitting yields 5 words: g, it, hub, user, content. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://raw.githubusercontent.com/

Page Load Overview

1.01s
Total Load Time
185
HTTP Requests
6
Domains
7.2 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:8,938 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion71% confidence
Type: webapp
Method: ml+structural

All Detected Categories

forum community discussion
71%
technology software
70%
documentation technical
53%
corporate business
27%

Detected Features

Search
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
146185.199.109.154United States
AS54113FASTLY
2213.33.187.16New York, New York, United States
AS16509AMAZON-02
12140.82.114.22United States
AS36459GITHUB
6140.82.114.21United States
AS36459GITHUB
613.33.187.2New York, New York, United States
AS16509AMAZON-02
613.33.187.25New York, New York, United States
AS16509AMAZON-02
6185.199.108.154Hoover, Alabama, United States
AS54113FASTLY
6185.199.110.154United States
AS54113FASTLY
6185.199.110.133United States
AS54113FASTLY
613.33.187.102New York, New York, United States
AS16509AMAZON-02
18528--

Detected Technologies3

HSTS
40%
GitHub Pages
40%
Fastly
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14EC418B260B0D639114F53D6F0F16A14F3E71366D3828AE8F55CCB6487CA99CE9432A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:2r7XRXCOXju7NWOcCpwhg0sqxBVxz9Cgolet4QjOp5b3vZJT3CqQrhryf65NRPa4:2r7BIGb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:593315:AaeGKEkJlAIQMZGTEFUyIwCKzDCCpiZTQMoCBppZTpEEOO2MQECYBlgTbFKYBRSuCADhEEoF4CLMAfSSAigFIGAmC2QqZQMQ

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:33f9f8cce8e8d4c4
Wavelet Hash:01007e7c7c7c3c7e
Color Hash:#6fd22d

Other Hashes

Crop Resistant:697935aaab515923,7979e7764c226a4c,544556ad29d2c555,9212923332121292,33f9f8cce8e8d4c4

Scan History

Scan history not available

Unable to load historical scan data