Security Scan Report: github-docker.2663307689.workers.dev

Redirected to:
https://github-docker.2663307689.workers.dev/
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: http://github-docker.2663307689.workers.dev/

Effective URL:
https://github-docker.2663307689.workers.dev/
Redirected

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site shows only acceleration utilities, lacks any malicious signals, and poses low risk.

Safety Factors (3)
Absence of forms collecting credentials or payment data
No malicious intelligence hits
Hosted on a reputable Cloudflare‑accelerated subdomain
Domain age information unavailable

Details

Page Title

Cloudflare 加速

Scan Type

public

Domain Name Analysis

Domain 'github-docker.2663307689.workers.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'github-docker.2663307689'. The second-level label 'workers' is 7 characters long holding two vowels versus 5 consonants. Breaking it apart gives one word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://github-docker.2663307689.workers.dev/

Page Load Overview

0.50s
Total Load Time
128 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:zh-CN
Text Length:266 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
64%
download file sharing
29%
cryptocurrency blockchain
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BDA2D82DB2F101763E9340FBE387E958B62591C3DD1ECAB5F99D9200DF8666168D32C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fDhFo9zlIEQeO3+JPwscRyiympRSZL6baOyyhX7JXeS7JXex/27xzSieAirpzR9E:7ThL7NeblzR9mzdNY+8LeFu/YNRsb6T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23329:op4AFYgFgCAMANs1IIpAStABilLKDAIQOgFANYQoEEDoAhrQGBCCIQPgqkNJsAVkopUCkwBIDUANAToQS4RJEBQ2SwAUhZQg

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:80e0fe7c7e7e0000
Perceptual Hash:d6a769d85e0896a5
Difference Hash:0088ccf4e0cc8401
Wavelet Hash:e0f0fefcfe7c0000
Color Hash:N/A

Other Hashes

Crop Resistant:0088ccf4e0cc8401

Scan History

Scan history not available

Unable to load historical scan data