Security Scan Report: mcp-website-directory.pages.dev

Site favicon
Submitted: Aug 30, 2026, 8:12:50 PMCompleted: Aug 30, 2026, 8:14:00 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The page appears to be an informational listing for a Cloudflare Workers tool with no malicious indicators.

Safety Factors (3)
Page provides informational content about Cloudflare Workers
Contains open-source links and documentation
No suspicious scripts or external form submissions
Domain age information unavailable

Details

Page Title

Cloudflare Workers - MCP Server | MyMCPShelf

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'mcp-website-directory.pages.dev' is registered and includes subdomain 'mcp-website-directory'. Count 5 characters in 'pages' with 2 vowels and 3 consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mcp-website-directory.pages.dev/server/cloudflare-workers

Page Load Overview

1.56s
Total Load Time
189 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:4,162 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
88%
documentation technical
40%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
969.46.46.120Seattle, Washington, United States
AS400940Railway
4172.66.47.185Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4140.82.121.4Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
4172.66.44.71Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4140.82.121.3Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
4185.199.110.133United States
AS54113Fastly, Inc.
4140.82.121.6Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
337--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA82B7427756982A122382DBB5F5772B22E2520EC648568055FF4FFE62F5F40B237E1C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:66WvEijDNsLN7wY2rqPut9Si0t7NVJEQ+4Tp5xtjw0B80fbNc20zV1omWXzBEzFB:7aT6RS+Wt0t7HJEQdTp20BGwni

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18729:ITE48CgTpAGJvBSFFYgIigEJRDjPlRkCBZhQDbgoBAQQQABoOAwwRWGUBhCSIKAMQRUGAwAONIsrIGFRJkgDFsUICiGQQRQh

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:00c3c3ffffffc787
Perceptual Hash:bc4936c3163a6d3c
Difference Hash:d61e072b2c1e2d2d
Wavelet Hash:000081ffcfff8787
Color Hash:#8b87c5

Scan History

Scan history not available

Unable to load historical scan data