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Security Scan Report: uncbears.com

Submitted: Jan 3, 2026, 5:58:23 AMCompleted: Jan 3, 2026, 6:02:31 AMpubliccompleted
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Summary

This website contacted 51 IPs in 4 countries across 37 domains to perform 458 HTTP transactions. The main domain is uncbears.com and was registered NaN years ago.

Submitted URL: https://uncbears.com/sports/mens-basketball/roster/dalton-knecht/8841

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university athletics page with no security concerns.

Safety Factors
Well‑established university domain
Standard hosting with no suspicious redirects
Official athletics roster page
Domain age information unavailable

Details

Page Title

Dalton Knecht - 2022-23 - Men's Basketball - University of Northern Colorado Athletics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(38%)

Domain Information

You're looking at domain 'uncbears.com' on the commercial generic top-level domain (.com) with no subdomain. The core label 'uncbears' covers 8 characters with three vowels and five consonants. Tokenizing the label suggests 2 words: unc, bears. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uncbears.com/sports/mens-basketball/roster/dalton-knecht/8841

Page Load Overview

247.01s
Total Load Time
458
HTTP Requests
0
Domains
N/A
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:9,060 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
38%
adult content
26%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19265.8.131.47United States
AS16509AMAZON-02
17745.223.99.110United States
AS19551INCAPSULA
1554.192.87.149United States
AS16509AMAZON-02
83.160.150.42United States
AS16509AMAZON-02
865.8.131.88United States
AS16509AMAZON-02
8216.239.32.36United States
AS15169GOOGLE
8142.251.141.65United States
AS15169GOOGLE
8172.64.147.18United States
AS13335CLOUDFLARENET
852.217.200.65Ashburn, Virginia, United States
AS16509AMAZON-02
8172.64.144.166United States
AS13335CLOUDFLARENET
051--

Detected Technologies5

Open-Graph-Protocolvwebsite
100%
Node.js
50%
Vue.js
30%
Google Tag Manager
30%
Nuxt.js
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A35E9221905583B1923D4E2E8D5D207B1E1B736C60B0E45EFECEB1C32F2E77E51A696

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:1GH8gnxbxyjpmdhhses5us5C627Yd+DWI8i/kTUx8LKNATb2NwUsxyAzPASNctZT:1GHoV67

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1075804:o0QAKAKBaVwIvhTAcwWILggAUOCEwECCgQAJhFJSgREkSJBFwEBGUQQSCKmJgM3h2+RCMyK8SEAAAFkFApGqENyAVKcakF0Y

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data