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LIMITED DATA

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Security Scan Report: apply.scsu.edu

Submitted: Dec 13, 2025, 6:36:17 PMCompleted: Dec 13, 2025, 6:37:08 PMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is apply.scsu.edu and was registered 33 years ago.

Submitted URL: https://apply.scsu.edu/apply/

The Cisco Umbrella rank of the primary domain is #972,142 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established university subdomain (apply.scsu.edu)
No suspicious content or phishing indicators
Domain age information unavailable

Details

Page Title

South Carolina State University Applications - Read Carefully

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

The domain name 'apply.scsu.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'apply'. The core label 'scsu' covers 4 characters with 1 vowel and three consonants. Tokenizing the label suggests two words: s, csu. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apply.scsu.edu/apply/

Page Load Overview

8.17s
Total Load Time
3
HTTP Requests
1
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:738 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
56%
adult content
49%
education
45%
government public service
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
334.198.122.35Ashburn, Virginia, United States
AS14618AMAZON-AES
31--

Page Statistics

3
Requests
4
Unique Domains
0.0 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E192A672B15027E795272DCCF4207B4D79D3821EEA030E907BEDC194DBC1EA8852A2DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KRL3zIFn2ldg+GCb1nz9gl9tnWmkC0HTONSVdVwp42Le:KN3zIF2l51neIn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19341:0JEEwBrJSQBBSVaIIMBaRBRoAigeCFo3IhBdRVyhQCfCSocpQcAUtYBkULzhKYhQKBwXAxAMJaApAIIlFLMAghukGkGAtEBg

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:00000000ffffffff
Perceptual Hash:fc47afa90260e1ea
Difference Hash:226a22b43816373e
Wavelet Hash:00000000ffffffff
Color Hash:#bc79d2

Scan History

Scan history not available

Unable to load historical scan data