Security Scan Report: bentleyfalcons.com

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Submitted: Jan 1, 2026, 7:38:12 PMCompleted: Jan 1, 2026, 7:39:46 PMpubliccompleted
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Summary

This website contacted 41 IPs in 3 countries across 32 domains to perform 98 HTTP transactions. The main domain is bentleyfalcons.com and was registered NaN years ago.

Submitted URL: https://bentleyfalcons.com/news/2025/12/31/womens-basketball-womens-basketball-hosts-new-years-day-game-against-daemen.aspx

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
Official Bentley University branding
No credential‑harvesting or payment forms
No malicious Indicators of Compromise
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

Women's basketball hosts New Year's Day game against Daemen - Bentley University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(81%)

Domain Information

The domain name 'bentleyfalcons.com' uses the commercial generic top-level domain (.com) and has no subdomain. Its registrable label 'bentleyfalcons' stretches across 14 characters holding four vowels versus 10 consonants. It segments into 2 words: bentley, falcons. Median word length is 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bentleyfalcons.com/news/2025/12/31/womens-basketball-womens-basketball-hosts-new-years-day-game-against-daemen.aspx

Page Load Overview

6.78s
Total Load Time
111
HTTP Requests
31
Domains
12.1 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:2,495 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network81% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
81%
adult content
71%
entertainment media
60%
documentation technical
49%
technology software
32%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31172.217.23.99United States
AS15169GOOGLE
2172.217.23.98United States
AS15169GOOGLE
265.8.131.47United States
AS16509AMAZON-02
2142.251.141.86United States
AS15169GOOGLE
2142.250.186.182Unknown
2162.19.138.116Unknown
2104.16.174.226Unknown
2142.250.184.202United States
AS15169GOOGLE
252.217.46.110UnknownUnknown
2142.250.186.129UnknownUnknown
11141--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10845625455A11D36009F26B78AA27D44B27E050799481D38FEECAF8C3FF1B36D3A2E16

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:qvguhyj9jOuf3L2OFpHvNynDa0PJTodRDFMgJeZJHeK0TeXj0eoqjR8Kfct/WtLO:qvgRBiuIpk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1262000:qAaZEAABMDXbUAMAciVINBDIR4lgbAMHAB5QWgjiAJAySAAMGEAIg2qpEhUgnFGcoRZVxAbAUFgBsgOEEGBqhqkGEdROsOAA

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:00ff83c1e1e1c981
Perceptual Hash:eb141143641b3fed
Difference Hash:860b3f2b074b1b1b
Wavelet Hash:00ff83e1e1e3ed81
Color Hash:#d22d90

Scan History

Scan history not available

Unable to load historical scan data