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Security Scan Report: orbathsignal.pages.dev

Submitted: Mar 25, 2026, 11:36:22 PMCompleted: Mar 25, 2026, 11:38:00 PMpubliccompleted
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Summary

This website contacted 7 IPs in 4 countries across 7 domains to perform 25 HTTP transactions. The main domain is orbathsignal.pages.dev and was registered NaN years ago.

Submitted URL: https://orbathsignal.pages.dev/2025a112533/

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

Informational page referencing GitHub on a generic subdomain; no malicious activity detected but brand mismatch and many redirects warrant caution.

Risk Factors
Brand mention (GitHub) on a non‑official subdomain
High number of redirects (11) may indicate tracking or redirection abuse
Safety Factors
No malicious Indicators of Compromise detected
No password, email, or payment fields in the sole form
No JavaScript malware patterns or credential exfiltration
Page appears to be informational/tutorial content
Domain age information unavailable

Details

Page Title

Cloudflare Workers Security Best Practices for GitHub Pages

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(98%)

Domain Information

The domain name 'orbathsignal.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'orbathsignal'. The registrable portion 'pages' spans 5 characters split between 2 vowels and 3 consonants. Splitting it apart reveals one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://orbathsignal.pages.dev/2025a112533/

Page Load Overview

0.31s
Total Load Time
84
HTTP Requests
11
Domains
46.4 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:17,629 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network98% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
98%
technology software
84%
education learning
62%
government public service
52%
documentation technical
39%

Detected Features

Search
Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12172.240.108.68United States
AS7979Servers.com, Inc.
1288.85.69.211Netherlands
AS35415Webzilla B.V.
12185.199.109.153Russia
AS35415
12104.16.174.226United Kingdom
AS7979
12185.215.4.66Moscow, Moscow, Russia
AS57724Ddos-guard Ltd
12142.251.141.136Unknown
AS13335
12172.66.44.85United States
AS13335Cloudflare, Inc.
847--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF233C636A9834284A4351A77A73BA4CA37D901757849CE077EFC5394F80FA8872B7CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:uaHs7rP4NKcC/574ZY2oYiwJMRF+G2QCF++p:uJh/2K2LMRF+G2QCF++p

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49242:0IH1QQQEhihrmSwjjBBBwH2CRhIO2FgyGaSJLDBCELAgRCskDChIJhciZJLhJwRgxECylEDenLGD6oMICBwR0jdxRJgkgqBL

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:ff9fff007f7f0003
Perceptual Hash:84fe7c81617bc1d8
Difference Hash:603020c3c3c071f6
Wavelet Hash:bf9f9f007f3f0000
Color Hash:#7be06c

Other Hashes

Crop Resistant:603020c3c3c071f6

Scan History

Scan history not available

Unable to load historical scan data