Security Scan Report: admission.usc.edu

Submitted: Mar 25, 2026, 10:36:30 PMCompleted: Mar 25, 2026, 10:37:57 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 1 HTTP transaction. The main domain is admission.usc.edu and was registered NaN years ago.

Submitted URL: https://admission.usc.edu/

The Cisco Umbrella rank of the primary domain is #49,239 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate USC admission page with no security concerns.

Safety Factors
Established domain age (>40 years)
Top‑100 K Cisco Umbrella ranking
No malicious Indicators of Compromise
No password, email, or payment fields
Standard minified JavaScript (no malware signatures)
Domain age information unavailable

Details

Page Title

Undergraduate Admission - Undergraduate Admission

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Domain 'admission.usc.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'admission'. The registrable portion 'usc' spans 3 characters holding one vowel versus two consonants. Segmentation suggests 1 word: usc. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://admission.usc.edu/

Page Load Overview

4.53s
Total Load Time
64
HTTP Requests
11
Domains
3.4 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-US
Text Length:6,668 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
technology software
29%
corporate
25%
news/blog
20%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6142.251.127.94United States
AS15169Google LLC
6172.66.163.68United States
AS13335Cloudflare, Inc.
6104.18.19.62United States
AS13335Cloudflare, Inc.
6172.217.20.138United States
AS15169Google LLC
6142.251.36.104United StatesUnknown
6162.247.243.39United States
AS54113Fastly, Inc.
6162.159.138.60United StatesUnknown
623.185.0.4United States
AS54113Fastly, Inc.
6410--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE2418A35380A1B5E60E46A8E075618AF228F0E7E4C5D4D8F3AD8494DFD2CD6AD1F71C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:uZ/tjPXAHQ+ZpttuaxyP3ispKYs3M26RiQXgb9/YXHyJfjjl7LDaZ:Cew+Dttuaxy/ispKY7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:215742:iqMgQY8BhBCkYI0KCEoMEAQcNEFgEEvUSGoAwCKAuthYADODEihmAFyrEwE6TgIEsAEEjBAvghjFQYIaAggliFkSFhCMWCAo

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:0070707c74706000
Perceptual Hash:c2fe39403c38c63f
Difference Hash:15c5c4e0e4c4c135
Wavelet Hash:00707f7f7e7e7000
Color Hash:#407dbf

Scan History

Scan history not available

Unable to load historical scan data