Security Scan Report: booked.net

Redirected to: https://www.booked.net/

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Submitted: Dec 26, 2025, 8:59:49 AMCompleted: Dec 26, 2025, 9:00:15 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 booked.net and was registered NaN years ago.

Submitted URL: https://booked.net

Effective URL: https://www.booked.net/Redirected

The Cisco Umbrella rank of the primary domain is #350,278 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Legitimate travel site; no security threats detected.

Risk Factors
Low Cisco Umbrella ranking for brand claim
Safety Factors
Established domain age (>20 years)
No malicious Indicators of Compromise matches
No forms collecting credentials or payment data
Page returns 410 Gone (no user‑visible content)
Domain age information unavailable

Details

Page Title

410 Gone

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(73%)

Domain Information

You're looking at domain 'booked.net' on the network infrastructure generic top-level domain (.net) with no subdomain. The second-level label 'booked' is 6 characters long split between 3 vowels and 3 consonants. Segmentation suggests one word: booked. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://booked.net

Page Load Overview

8.93s
Total Load Time
30
HTTP Requests
5
Domains
1.5 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:2,098 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
73%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30172.66.42.229United States
AS13335CLOUDFLARENET
301--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CFF0E29BAF12307B2E238571F4C32168CF640957EF8C25D28759011FB2CA04289F5FBA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxnbx0AqKIlIgr8IHTF83TF83TF83TF83TF83TFf:ktmAgLTuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:524:BAAEAAAAAAwAAAAAAgAAAAAAAAAAAAAAAAAAQAABAAAAAAAAAAAAAAAAAAAACAAAAAAAAABAAAgAAAABAAAYAAAAAAAAAAAA

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:00ffffffffffffff
Perceptual Hash:a333333333333333
Difference Hash:0800000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#4c862d

Other Hashes

Crop Resistant:0800000000000000

Scan History

Scan history not available

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