ScanMalware.com

Security Scan Report: github-io.afyy.workers.dev

Submitted: Aug 6, 2026, 8:47:56 PMCompleted: Aug 6, 2026, 8:49:14 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 3 HTTP transactions. The main domain is github-io.afyy.workers.dev and was registered NaN years ago.

Submitted URL: https://github-io.afyy.workers.dev/features/copilot/copilot-business

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The page mimics GitHub branding on an unknown‑age workers.dev subdomain and references flagged GitHub URLs, yielding moderate risk of brand impersonation.

Risk Factors
Brand impersonation without matching domain
Unknown subdomain age on a cloud hosting platform
Unranked domain with low reputation
External link Indicators of Compromise to flagged GitHub URLs
Safety Factors
Content appears to be legitimate marketing material for GitHub Copilot
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

GitHub Copilot Business · GitHub

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

You're looking at domain 'github-io.afyy.workers.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'github-io.afyy'. Its registrable label 'workers' stretches across 7 characters holding 2 vowels versus 5 consonants. Splitting it apart reveals 1 word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://github-io.afyy.workers.dev/features/copilot/copilot-business

Page Load Overview

8.83s
Total Load Time
160
HTTP Requests
11
Domains
4.3 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:7,904 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
43%
corporate business
40%
forum community discussion
32%

Detected Features

OG: object
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
54188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
53185.199.108.215United States
AS54113Fastly, Inc.
5313.33.187.102Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
1603--

Page Statistics

160
Requests
11
Unique Domains
4.4 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139A4D9EAB0F1D73A058E57ABF0E15A50D3E3199BC756ADD6C01CCB88848544CF6B32A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:f0i7b8M7+UREMP82ZitwKl3p3ZWJ4X4j1crVHeej0HYmCnuN6X+WdPXHyOn4iGJL:f0i6WHYwf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:457055:ESNEHwPGSJFLAyiiViKRFQACJMBEEtIMpAJmYaDIwkCwJ0SAUAEUCU0sBBNFAYPRCAg0kGuAYCYAiT42DIFilAZa5KUEJi4A

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:000018007e7e7e76
Perceptual Hash:c6396693676894d3
Difference Hash:43b1b131ccececc4
Wavelet Hash:e10018187e7e7e7e
Color Hash:#2d865f

Other Hashes

Crop Resistant:cccfe8edada52dc6,43b1b131ccececc4

Scan History

Scan history not available

Unable to load historical scan data