Security Scan Report: microsoft.github.io

Submitted: Nov 26, 2025, 9:27:31 PMCompleted: Nov 26, 2025, 9:31:11 PMpubliccompleted
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Summary

This website contacted 32 IPs in 1 country across 2 domains to perform 25 HTTP transactions. The main domain is microsoft.github.io.

Submitted URL: https://microsoft.github.io/monaco-editor/

The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate Microsoft‑hosted page with no security concerns.

Safety Factors
Official Microsoft branding matches the hosting domain
Open‑source project hosted on reputable GitHub Pages infrastructure
Domain age information unavailable

Details

Page Title

Monaco Editor

Scan Type

public

Language

🇺🇸

English

(56% confidence)

Category

technology software

(68%)

Domain Information

Domain 'microsoft.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'microsoft'. The core label 'github' covers 6 characters split between two vowels and four consonants. Word splitting yields three words: g, it, hub. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://microsoft.github.io/monaco-editor/

Page Load Overview

1.27s
Total Load Time
25
HTTP Requests
2
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:56%
Script Type:Latin
Text Length:4,098 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25185.199.110.153United States
AS54113FASTLY
24185.199.111.153United States
AS54113FASTLY
1104.16.3.35United States
AS13335CLOUDFLARENET
0104.16.0.35United States
AS13335CLOUDFLARENET
0185.199.108.153United States
AS54113FASTLY
0185.199.109.153San Francisco, California, United States
AS54113FASTLY
0104.16.31.34United States
AS13335CLOUDFLARENET
0104.16.24.34United States
AS13335CLOUDFLARENET
02606:4700::6810:1a22United States
AS13335CLOUDFLARENET
0104.16.29.34United States
AS13335CLOUDFLARENET
2532--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13024E0E2C4CA1470537BC6D1B0E3BA5E178DB307EBA109ECF9951FACE6E985461C129C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YFuuCe8fIU3oshZmV7UqU08VzLEUwvnJgutL4NnmxgNj01AEBe/3wlQ2Yji6FAck:YFuuidiLsgth0zNL9kUACh9W9L9kU/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:223289:iUBlCgBTAjwAgIHUGIYEjFnABQMMiGAKpkHANSZDEBIDJMSmMkAIgACISngL+xzRJQYRzwlmKgaB2DyAphBoEAGDqREIAxjz

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:00ffffffbbffffff
Perceptual Hash:bf62104a3a6a372f
Difference Hash:0546562b53413230
Wavelet Hash:00fe838101bf9f9f
Color Hash:#3a786c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data