Security Scan Report: www.clippervacations.com

Submitted: Jan 1, 2026, 7:34:45 AMCompleted: Jan 1, 2026, 7:36:21 AMpubliccompleted
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Summary

This website contacted 44 IPs in 3 countries across 35 domains to perform 90 HTTP transactions. The main domain is clippervacations.com and was registered NaN years ago.

Submitted URL: https://www.clippervacations.com/magazine/how-to-spend-new-years-eve-in-seattle-2025/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate travel article site with no security concerns

Safety Factors
Well-established domain
No credential or payment collection
No malicious Indicators of Compromise
No suspicious redirects or hidden fields
Domain age information unavailable

Details

Page Title

How to Spend New Year's Eve in Seattle (2025) | Clipper Vacations Magazine

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

news/blog

(60%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.clippervacations.com' is registered with subdomain 'www'. Count 16 characters in 'clippervacations' with 6 vowels and 10 consonants. It segments into 2 words: clipper, vacations. Average segment length settles at 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.clippervacations.com/magazine/how-to-spend-new-years-eve-in-seattle-2025/

Page Load Overview

1.89s
Total Load Time
39
HTTP Requests
6
Domains
2.2 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:7,881 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog60% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
60%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39141.193.213.11United States
AS209242Cloudflare London, LLC
1104.20.36.228UnknownUnknown
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
052.215.34.160United States
035.227.244.1United States
AS396982GOOGLE-CLOUD-PLATFORM
03.171.214.98Unknown
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0172.217.18.4United States
AS15169GOOGLE
0150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
018.66.112.27Unknown
3944--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14563D6EB2E54A026166786C2F079F718E16385AFEB52C8C4A3F8818DA3C1ED553D335D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9d4ryGL8p7qeJ2jBKYLz0pVx/nbotO7qW7vl9/LNzNxMAJ:957PaBKYL83bHqEZJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72948:CyUCSCD6q1jRaJSQEgCsKxJtCiEWfYzZoRGAiEBGAgAV9yN9MCeC6MCCphsVMiQGFURCgClaJ5JCBBBA1FCDolEoIyAAWAYg

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:ffff143c0800a1ff
Perceptual Hash:c286f469dbca46b4
Difference Hash:09ceec69f9c0690d
Wavelet Hash:ff7f143c080081ff
Color Hash:#a8e06c

Scan History

Scan history not available

Unable to load historical scan data