Security Scan Report: package.bookingwindow.com

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Submitted: Jan 19, 2026, 12:48:28 AMCompleted: Jan 19, 2026, 12:49:51 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is package.bookingwindow.com and was registered NaN years ago.

Submitted URL: https://package.bookingwindow.com/59.44b939525c44c27c.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate 404 page with no security concerns.

Safety Factors
Well‑established domain
No credential or payment collection
Standard GitHub Pages 404 response
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

Page not found · GitHub Pages

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

documentation technical

(30%)

Domain Information

Within the commercial generic top-level domain (.com), 'package.bookingwindow.com' is registered; it also runs on subdomain 'package'. The second-level label 'bookingwindow' is 13 characters long with five vowels and eight consonants. It segments into two words: booking, window. Median word length comes out to 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://package.bookingwindow.com/59.44b939525c44c27c.html

Page Load Overview

0.75s
Total Load Time
1
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:426 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical30% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
174.225.182.48Pune, Maharashtra, India
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
11--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D126D7F09E93305D8028E1539F227593D69440F9A866F6EB9AD1311CF8ED10E1A37CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:B5wnb1iC9OA9XXMa9bYnr7JMkrALQDUnulGVopLAGCALQD6vnglET31iCLL3Z:BeB8Ht3DUulGmmv3D6vglETliCfJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9365:gfMhQgeSCDI+H2BHugJQSCDAQFCEVlgBMRQIbohFg4ROUyxoQHxKGwIAWFFQcTAqIxNCASUABirGQ4QGJAJgdj7AzGSFABLg

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:e7e7c3e7ffffffff
Perceptual Hash:e666b39b8e666430
Difference Hash:080c0c0c00000000
Wavelet Hash:070303270f0f0f0f
Color Hash:#d2aa79

Other Hashes

Crop Resistant:080c0c0c00000000

Scan History

Scan history not available

Unable to load historical scan data