Security Scan Report: spunk-codes.pages.dev

Redirected to: https://spunk-codes.pages.dev/ebook-ai-automation

Submitted: Mar 18, 2026, 12:39:15 AMCompleted: Mar 18, 2026, 12:40:47 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 4 HTTP transactions. The main domain is spunk-codes.pages.dev and was registered NaN years ago.

Submitted URL: https://spunk-codes.pages.dev/ebook-ai-automation.html

Effective URL: https://spunk-codes.pages.dev/ebook-ai-automationRedirected

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Legitimate marketing page with low risk; no credential or payment collection detected.

Risk Factors
Right‑click blocking via JavaScript
Cross‑origin POST to external Firebase database (potential data exfiltration, though no credentials observed)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No malicious YARA patterns or IDS alerts
Page served over HTTPS
Domain age information unavailable

Details

Page Title

The AI Automation Playbook for Solo Founders | spunk.codes

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(32%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'spunk-codes.pages.dev' is registered, featuring subdomain 'spunk-codes'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://spunk-codes.pages.dev/ebook-ai-automation.html

Page Load Overview

0.45s
Total Load Time
8
HTTP Requests
5
Domains
140 KB
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:80,587 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software32% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
32%

Detected Features

OG: book

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.217.20.136United States
AS15169Google LLC
220.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
2188.114.97.3Switzerland
2172.217.20.130United States
AS15169Google LLC
84--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182D3D666E2F100360A7349D766B64FBAB6B8D01AE205119079EC42EC2FF5D44FD77B48

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ZTZvsaPV8qxsIthkoy2S9rHvva1iTsiMfCE+oX7ZrD+R3gwzCSdRStSvCBzFzmOI:ZTZVdS9TvYTIoOQwOSYdmOQrmqMwou

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:135146:5kqAgEQAlo1DU8A+LYFTgxQALoXISzA6EAINQlUiRQSUFzMI0AKAEikgIrhAgMgCA1VVTkqZl8mVogmBACoZByaAZVhCN4Qg

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:1919391919110101
Perceptual Hash:8acc33336ccccd33
Difference Hash:3131313131311101
Wavelet Hash:3d3d3d3d3d191901
Color Hash:#6c9ae0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data