Security Scan Report: www.csulb.edu

Submitted: Oct 11, 2025, 4:54:19 PMCompleted: Oct 11, 2025, 4:56:06 PMpubliccompleted
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Summary

This website contacted 84 IPs in 4 countries across 21 domains to perform 80 HTTP transactions. The main domain is csulb.edu and was registered NaN years ago.

Submitted URL: https://www.csulb.edu/news/article/beach-voices-feeling-loved-and-accepted-at-csulb-after-coming-out

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate university article with no security concerns.

Safety Factors
Established educational institution with long domain history
Standard informational content only
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Beach Voices: Feeling loved and accepted at CSULB after coming out | California State University Long Beach

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

The domain 'www.csulb.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www'. Its registrable label 'csulb' stretches across 5 characters with 1 vowel and 4 consonants. Breaking it apart gives one word: csulb. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.csulb.edu/news/article/beach-voices-feeling-loved-and-accepted-at-csulb-after-coming-out

Page Load Overview

57.06s
Total Load Time
80
HTTP Requests
21
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:11,078 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%
news/blog
70%
news
30%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
80172.217.18.8United States
AS15169GOOGLE
0143.204.98.51United States
AS16509AMAZON-02
052.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0142.250.184.228United States
AS15169GOOGLE
0216.239.34.36United States
AS15169GOOGLE
066.102.1.155United States
AS15169GOOGLE
0142.250.74.200United States
AS15169GOOGLE
0104.18.11.207United States
AS13335CLOUDFLARENET
0104.21.27.152United States
AS13335CLOUDFLARENET
0143.204.98.56United States
AS16509AMAZON-02
8084--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16DB3A62195F01A33441345C16AA5F72AAF83D207DF870544F3EC4B9EAFD6DA28D6B22D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pFaLY3YySAlOqnP8DIySbXA2zAooIbLa0bYBvfxpS6xe1/MhUXnclJP+c/Ji7c3+:pFC5lAlhFvRr39jKMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:113395:ksQBoEABBNJBqQBgBmAStVXARuoSXAZnACxWraLtjeEggI8IKQBSomMQO6olAKAYAOoADIwHKjWIA0CFGgigoFYBAAFhFGoj

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:ff18000000fdffff
Perceptual Hash:ca04b5b765a5a55a
Difference Hash:54f1f17139b95961
Wavelet Hash:ff18000000fdfdff
Color Hash:#5dbf40

Scan History

Scan history not available

Unable to load historical scan data