Security Scan Report: loyolaramblers.com

Submitted: Nov 11, 2025, 1:01:56 AMCompleted: Nov 11, 2025, 1:03:02 AMpubliccompleted
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Summary

This website contacted 136 IPs in 0 countries across 27 domains to perform 156 HTTP transactions. The main domain is loyolaramblers.com and was registered NaN years ago.

Submitted URL: https://loyolaramblers.com/news/2025/11/10/womens-basketball-loyola-set-for-clash-with-no-1-uconn-on-wednesday-night.aspx

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university athletics page with no security concerns.

Safety Factors
Established domain age
Official university branding
No malicious Indicators of Compromise
No sensitive data collection forms
Domain age information unavailable

Details

Bot Protection Detected

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

Page Title

Loyola Set for Clash With No. 1 UConn on Wednesday Night - Loyola University Chicago Athletics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(47%)

Domain Information

Domain 'loyolaramblers.com' uses the commercial generic top-level domain (.com) with no subdomain. The core label 'loyolaramblers' covers 14 characters holding 5 vowels versus nine consonants. Segmentation suggests 2 words: loyola, ramblers. Median word length is seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://loyolaramblers.com/news/2025/11/10/womens-basketball-loyola-set-for-clash-with-no-1-uconn-on-wednesday-night.aspx

Page Load Overview

14.49s
Total Load Time
156
HTTP Requests
27
Domains
3.5 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:16,170 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content47% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
47%
news media journalism
45%
entertainment media
32%
gambling betting
25%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21142.250.184.230UnknownUnknown
1216.58.206.40UnknownUnknown
145.223.123.204UnknownUnknown
1104.17.24.14UnknownUnknown
118.244.18.27UnknownUnknown
145.223.98.204UnknownUnknown
1142.250.185.102UnknownUnknown
1142.250.185.118UnknownUnknown
118.172.112.3UnknownUnknown
1142.250.186.168UnknownUnknown
156136--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140F4A31409A11E3A026F11E299A13D45A6AF0507C9491E34FAECDF9C3FF1B76A363D1B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:iHUvS7jXnCsip+LXAhCda99TMtlJr4w5Wm8Kfct/WtLWdeQh:hv/uXDdg9TqJ4A8Kfct/WtLWdeQh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:734937:yQNNBGgQcAgs4UA0wAKA0wSE61AqQVgJwEBgDgSEJOyjYhwQCgCwFMIBpQ0AoHmBK9CCKiAASpIHhhz0IMBg0IIkaAANABUI

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:bd00878383839fff
Perceptual Hash:be40c93ee098bed2
Difference Hash:65d23f272f2f3b13
Wavelet Hash:bd00878383839bff
Color Hash:#bf406e

Scan History

Scan history not available

Unable to load historical scan data