ScanMalware.com

Security Scan Report: www.roarlions.com

Site favicon
Submitted: Oct 25, 2025, 11:44:29 PMCompleted: Oct 25, 2025, 11:47:32 PMpubliccompleted
Loading additional data...

Summary

This website contacted 168 IPs in 4 countries across 50 domains to perform 146 HTTP transactions. The main domain is roarlions.com and was registered NaN years ago.

Submitted URL: https://www.roarlions.com/sports/football/schedule

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (registered since 2004)
Official university athletics branding matches domain
No credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
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

2025 Football Schedule - University of North Alabama Athletics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'www.roarlions.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'roarlions' is 9 characters long with 4 vowels and 5 consonants. Splitting it apart reveals two words: roar, lions. Expect 4.5 characters per word on average. 'roar' most often appears in English. Usage also turns up in Swedish and Chinese (Pinyin) contexts. Taken together, it feels English.

Screenshot

Security scan screenshot of https://www.roarlions.com/sports/football/schedule

Page Load Overview

1.80s
Total Load Time
146
HTTP Requests
50
Domains
2.7 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:7,223 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1545.223.104.106United States
AS19551INCAPSULA
1418.66.122.95United States
AS16509AMAZON-02
12104.17.25.14United States
AS13335CLOUDFLARENET
5142.250.184.200United States
AS15169GOOGLE
554.192.87.70United States
AS16509AMAZON-02
5142.250.185.174United States
AS15169GOOGLE
5104.18.40.238United States
AS13335CLOUDFLARENET
4216.239.32.36United States
AS15169GOOGLE
4142.250.186.166United States
AS15169GOOGLE
4174.143.40.29United States
AS33070RMH-14
146168--

Detected Technologies5

JQueryv1.9.1
100%
Imperva
40%
HSTS
40%
Microsoft ASP.NET
30%
Google Tag Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F94C6449E61053704AF73EBAA70105960B39503DE4A3909F9DCF3A53BD0F19EAD2E6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GQdgdJbR40+dHxlVW63od8S6Fx9VodNNBl+rGfdsZ9/554Wd/JtmCpxkddx59BOE:gXj/vH3Y8tD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:436581:GCCEHBkBrNAALKB4wAEWIhjOIaAoVBdIRaNEBsrRxQCAAVRSElCgUgiIU4gOBJIITFTNDggAERHACDlwA1BxiFZA+JADzGQI

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:fd3c7e7c7c3c3c3c
Perceptual Hash:c26a39b9e8acac93
Difference Hash:11c8ecc4d4f4d8d8
Wavelet Hash:f12c3c3c3c3c3c3c
Color Hash:#1f937c

Other Hashes

Crop Resistant:11c8ecc4d4f4d8d8,0b10d848b0f0b0b0,0b0b0b2b8b8b0b0b

Scan History

Scan history not available

Unable to load historical scan data