Security Scan Report: news.csun.edu

Submitted: Dec 8, 2025, 8:03:54 PMCompleted: Dec 8, 2025, 8:58:29 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 3 domains to perform 93 HTTP transactions. The main domain is news.csun.edu and was registered NaN years ago.

Submitted URL: https://news.csun.edu/event/holiday-martin-luther-king-jr-day-2026/

The Cisco Umbrella rank of the primary domain is #201,975 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university event page with no security concerns.

Safety Factors
Well‑established domain
Official CSUN subdomain
No suspicious forms or data collection
No external malicious links
Domain age information unavailable

Details

Page Title

Holiday – Martin Luther King, Jr. Day 2026 – CSUN News & Events

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

Domain 'news.csun.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'news'. The registrable portion 'csun' spans 4 characters with one vowel and three consonants. Splitting it apart reveals one word: csun. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://news.csun.edu/event/holiday-martin-luther-king-jr-day-2026/

Page Load Overview

73.35s
Total Load Time
93
HTTP Requests
3
Domains
421 KB
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-US
Text Length:1,985 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18141.193.213.11United States
AS209242Cloudflare London, LLC
15157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
15141.193.213.10United States
AS209242Cloudflare London, LLC
15216.58.206.74United States
AS15169GOOGLE
152a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
152a00:1450:4001:82b::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
936--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1719339B7826C143E565B87DCDF34324A617F64BBF600A668B2FD8A246FC3DE5108251E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:mA/ap8oAiQD7trZUa8fePniMrTA4Bl6hUOKlIDqgR5UEmmbMWk0i4glJ0pMUAsLk:mAySoAiQDn+uQbMWk0i4M0pMUAsLNtMV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93825:S4AQACBEwC6kAAAkhmmklYQgLwMAJRinPgIWgEGkMXIGLAIxjHjLgAwHQNQiighsIJ4WiS9QGJcgAUCAiMBNSScAQShLGCsI

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:ff00ffffc3c3c3c3
Perceptual Hash:bcc34929929ea36d
Difference Hash:c141233416161616
Wavelet Hash:ff0000ffc3c3c3c3
Color Hash:#ac5397

Scan History

Scan history not available

Unable to load historical scan data