Security Scan Report: www.unlv.edu

Submitted: Oct 11, 2025, 4:47:51 PMCompleted: Oct 11, 2025, 4:49:13 PMpubliccompleted
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Summary

This website contacted 169 IPs in 7 countries across 52 domains to perform 169 HTTP transactions. The main domain is unlv.edu and was registered NaN years ago.

Submitted URL: https://www.unlv.edu/event/celebrate-you-national-coming-out-day

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university event page with no security concerns.

Safety Factors
Well‑established domain age
Official university .edu domain
No malicious Indicators of Compromise
No suspicious redirects or hidden forms
Domain age information unavailable

Details

Page Title

Celebrate You: National Coming Out Day | Calendar | UNLV

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Domain 'www.unlv.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www'. The second-level label 'unlv' is 4 characters long with one vowel and three consonants. Tokenizing the label suggests 1 word: unlv. Median word length comes out to four characters. The linguistic tilt is Danish for 'ulv'. You will also see it in Norwegian and Sinhala contexts.

Screenshot

Security scan screenshot of https://www.unlv.edu/event/celebrate-you-national-coming-out-day

Page Load Overview

40.33s
Total Load Time
169
HTTP Requests
52
Domains
1.7 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:2,770 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: static
Method: ml+structural

All Detected Categories

education
45%
government public service
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.18.40.68United States
AS13335CLOUDFLARENET
118.172.114.101United States
AS16509AMAZON-02
1157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
154.78.254.47Dublin, Leinster, Ireland
AS16509AMAZON-02
134.249.177.50Dublin, Leinster, Ireland
AS16509AMAZON-02
152.223.40.198United States
AS16509AMAZON-02
1142.250.185.131United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
1216.58.206.78United States
AS15169GOOGLE
1185.89.210.180Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
169169--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD230863A2401037426722DDB770B72DA193D56FEE471882FBFCCB9A13D7E858D1461A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:tZLpDz2hTZYQBVp6plpGlpwpl6pYpWWQzMYZcWUraaFync5amb1dt:tZNopqLckMcWZzMYZcWUrrZ5ambvt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47891:GgBAGzHiLaUIAWIFdCqggDQMBTBEYYVUjQgHxOgNKSwEKGcEKEwDI3UIJOWBiAeAByQAHo8ATDUMgLJiRFtCEQhAimARRSEo

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:00ffffffffffffff
Perceptual Hash:bc45630a5b334b3b
Difference Hash:c5063222302c2c2c
Wavelet Hash:00f2839f9f878787
Color Hash:#783a4c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data