Security Scan Report: githubzhusj.ja-n-e-y-s-u-wa.workers.dev

Redirected to:
https://githubzhusj.ja-n-e-y-s-u-wa.workers.dev/features/ai
Submitted: Aug 15, 2026, 1:01:04 AMCompleted: Aug 15, 2026, 1:02:24 AMpubliccompleted

Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 3 HTTP transactions. The main domain is githubzhusj.ja-n-e-y-s-u-wa.workers.dev and was registered NaN years ago.

Submitted URL: http://githubzhusj.ja-n-e-y-s-u-wa.workers.dev/features/ai

Effective URL: https://githubzhusj.ja-n-e-y-s-u-wa.workers.dev/features/aiRedirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The page mimics GitHub branding on an unverified workers.dev subdomain but lacks credential collection; treat as moderate risk.

Risk Factors
Brand impersonation without credential collection
Unknown creation date of subdomain on a hosting platform
High JavaScript obfuscation score (potentially suspicious code style)
Safety Factors
Content appears to be informational about 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 AI · AI built into every step of your workflow · GitHub

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

The domain name 'githubzhusj.ja-n-e-y-s-u-wa.workers.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'githubzhusj.ja-n-e-y-s-u-wa'. The second-level label 'workers' is 7 characters long containing 2 vowels alongside five consonants. Segmentation suggests 1 word: workers. Median word length is seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://githubzhusj.ja-n-e-y-s-u-wa.workers.dev/features/ai

Page Load Overview

10.33s
Total Load Time
152
HTTP Requests
5
Domains
3.0 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:6,016 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
50%
forum community discussion
46%

Detected Features

OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
52185.199.109.215United States
AS54113Fastly, Inc.
5013.33.187.16Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
50188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1523--

Page Statistics

152
Requests
5
Unique Domains
3.1 MB
Total Size

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B194D9EAB0B0D73A069E57ABF0E15A40D3E3169AC396ADD5C01DC758C1C648CF6E3267

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:QwCdOXM7yUREMl82xitp5P3pL98J4XyfBcrPpE2nh18/urrNFFLgU7jdXHHyOn4p:QwCSM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:428558:AhGKZgFgSoQ5wCGgHAUaQqCLZgYBcYjqLAgCPChieZIAGhYfAgxyMEkBkEgJSISABmv0yNFRjAJpEM0KQJQIMQIDyCQAYKQC

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:f17c3c1800240018
Perceptual Hash:caccea636931c333
Difference Hash:23f0e1b151e90171
Wavelet Hash:e17f7f39003c003d
Color Hash:#87c5a1

Other Hashes

Crop Resistant:23f0e1b151e90171

Scan History

Scan history not available

Unable to load historical scan data