Security Scan Report: usccareers.usc.edu

Submitted: Nov 6, 2025, 12:25:45 PMCompleted: Nov 6, 2025, 12:27:25 PMpubliccompleted
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Summary

This website contacted 39 IPs in 2 countries across 13 domains to perform 88 HTTP transactions. The main domain is usccareers.usc.edu and was registered NaN years ago.

Submitted URL: https://usccareers.usc.edu/job/las-vegas/medical-assistant-cma-lv-nellis-family-med-clinic-full-time-12-hour-varied-non-exempt-non-union/1209/87117217376

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university job posting with no security concerns.

Safety Factors
Established university domain
Transparent job posting with standard application forms
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

Medical Assistant (CMA) - LV Nellis Family Med Clinic - Full Time 12 Hour, Varied (Non-Exempt) (Non-Union) at USC

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

education

(90%)

Domain Information

The domain 'usccareers.usc.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'usccareers'. The second-level label 'usc' is 3 characters long containing 1 vowel alongside two consonants. It segments into one word: usc. The median word length lands at 3 characters. 'usc' most strongly signals Danish. You may catch it in German and English as well.

Screenshot

Security scan screenshot of https://usccareers.usc.edu/job/las-vegas/medical-assistant-cma-lv-nellis-family-med-clinic-full-time-12-hour-varied-non-exempt-non-union/1209/87117217376

Page Load Overview

28.60s
Total Load Time
88
HTTP Requests
13
Domains
6.0 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:12,150 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%
corporate
70%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12172.67.71.148United States
AS13335CLOUDFLARENET
2184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.17.24.14United States
AS13335CLOUDFLARENET
2104.26.14.52United States
AS13335CLOUDFLARENET
223.50.131.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.17.25.14United States
AS13335CLOUDFLARENET
2142.250.186.42United States
AS15169GOOGLE
2142.250.181.228United States
AS15169GOOGLE
2151.101.1.229San Francisco, California, United States
AS54113FASTLY
2104.26.15.52United States
AS13335CLOUDFLARENET
8839--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B731952F2901D26465302CABDA1364879B5F70BD5492DC0F4ED83F81FDAEE5EA2720E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ikiY0+luXZViK8wLylfQ58oNmxddp96sj9fmTfmZfm9dxOnz/x/UMpwcaq:ikI+UXZVihztLdf3Dpwcaq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76402:KJkaEIgoBWAUqEg4ABZFDJCUAucwpgEKIgwHIoEhAS0qQMBgBwTBcCGhgQQAJAEFBEqWwCMZkEA8NaIRQQrECmCxcyQsGAgg

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:0000003cffffffff
Perceptual Hash:da4325b49b5365b8
Difference Hash:4141416979232763
Wavelet Hash:0000003cffd3ffbf
Color Hash:#c579d2

Scan History

Scan history not available

Unable to load historical scan data