Security Scan Report: highwayqueens.com

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Submitted: Dec 31, 2025, 10:58:46 PMCompleted: Dec 31, 2025, 11:00:03 PMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 9 domains to perform 40 HTTP transactions. The main domain is highwayqueens.com and was registered NaN years ago.

Submitted URL: https://highwayqueens.com/2025/12/23/songs-of-the-year-2025/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Songs of the Year 2025 – Highway Queens

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

Within the commercial generic top-level domain (.com), 'highwayqueens.com' is registered while skipping any subdomain. Its registrable label 'highwayqueens' stretches across 13 characters split between 5 vowels and 8 consonants. Tokenizing the label suggests two words: highway, queens. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://highwayqueens.com/2025/12/23/songs-of-the-year-2025/

Page Load Overview

2.56s
Total Load Time
46
HTTP Requests
10
Domains
485 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:11,833 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
35%
entertainment media
31%
social_media
25%
forum
25%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
6192.0.78.19United States
6192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
6192.0.78.24San Francisco, California, United States
AS2635AUTOMATTIC
6192.0.78.18San Francisco, California, United States
AS2635AUTOMATTIC
6192.0.78.25San Francisco, California, United States
AS2635AUTOMATTIC
6192.0.77.32San Francisco, California, United States
AS2635AUTOMATTIC
467--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13FC35D12D32C48B63A6B4759F80AF31EF0658978C5048AE5F0F691286FC6DF921B739D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:hQpXYnTH3GmbKJcIfk+azPa7Kk2kkFU9QjVRve:QxVJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124912:rAQRJK4FQBBCOw5CCYJIBYQQIgKSgABAqNsAXLYDABBCiAkAQiDgBCgDEBhIgCg6BFB/I5EEhVwJAUlcGwNolXaYiDIEkQgM

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:0000ffffffc3e7ff
Perceptual Hash:e11a236cdb98e5cc
Difference Hash:31b1e141868e8e4e
Wavelet Hash:000000ffffc3c3ff
Color Hash:#8f1f93

Scan History

Scan history not available

Unable to load historical scan data