ScanMalware.com

Security Scan Report: twitter.github.io

Redirected to: https://opensource.twitter.dev/

Submitted: Apr 2, 2026, 9:21:14 AMCompleted: Apr 2, 2026, 9:22:44 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 25 HTTP transactions. The main domain is opensource.twitter.dev and was registered NaN years ago.

Submitted URL: https://twitter.github.io

Effective URL: https://opensource.twitter.dev/Redirected

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site is a legitimate Twitter open‑source page with no malicious indicators.

Safety Factors
Official GitHub Pages subdomain for the Twitter organization
No suspicious JavaScript or network alerts
No phishing or brand impersonation content (no login or payment prompts)
Domain redirects to a legitimate Twitter-owned domain
Domain age information unavailable

Details

Page Title

Twitter Open Source

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(83%)

Domain Information

You're looking at domain 'twitter.github.io' on the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'twitter'. The core label 'github' covers 6 characters holding two vowels versus four consonants. Tokenizing the label suggests three 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://twitter.github.io

Page Load Overview

1.08s
Total Load Time
41
HTTP Requests
10
Domains
621 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:1,155 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
83%
technology software
66%
documentation technical
53%
forum community discussion
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.66.0.227Germany
AS15169
6104.18.39.59Germany
AS54113
6185.199.108.153United States
AS54113Fastly, Inc.
6146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
6185.199.109.153United States
AS54113Fastly, Inc.
6142.251.20.97GermanyUnknown
416--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E05272B2D4E0047691C6D3D175A26769EFA24407EE828C13FAEC4AC06F87E83C96325D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:d0qhh8Zr8jidyymidZvp5sZDfqysAt/JgNr:druxmuZvp5sZDfqysAt/JgNr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14506:QBRhMIFEUgNhxayzJcrKYBARAAtEAQgZJ0MEZib0CDgOwAMB5E6UIwQtSIWCIiUiMMAY+BeMAAkowGACgeQkgooLRUuUFUAA

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:000000ffffffffff
Perceptual Hash:e143183cb6b6bc4d
Difference Hash:0fd1d30ca2b2ae8e
Wavelet Hash:000000e7fbcbdbff
Color Hash:#e08f6c

Other Hashes

Crop Resistant:0fd1d30ca2b2ae8e,a45a4baeac2d3d02,060220c0d4d0d2d0

Scan History

Scan history not available

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