Security Scan Report: schaeffer.usc.edu

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Submitted: Jun 23, 2026, 2:32:47 PMCompleted: Jun 23, 2026, 2:34:05 PMpubliccompleted

This website contacted 2 IPs in 1 country across 7 domains to perform 45 HTTP transactions. The main domain is schaeffer.usc.edu and was registered 41 years ago.

Submitted URL: https://schaeffer.usc.edu/people/dana-goldman-ph-d/

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 educational page with no malicious activity detected.

Safety Factors (3)
Well‑established university domain
Top 100 K in Cisco Umbrella ranking
No external malicious resources detected
Domain age information unavailable

Details

Page Title

Dana Goldman, PhD - USC Schaeffer

Scan Type

public

Domain Name Analysis

Domain 'schaeffer.usc.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'schaeffer'. The registrable portion 'usc' spans 3 characters split between 1 vowel and two consonants. Word splitting yields 1 word: usc. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://schaeffer.usc.edu/people/dana-goldman-ph-d/

Page Load Overview

2.13s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:6,607 chars
Detector Agreement:80%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%
news/blog
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23141.193.213.20United States
AS209242Cloudflare London, LLC
22104.18.18.62United States
AS13335Cloudflare, Inc.
452--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17383F9B3F468203E621E71D961E1730FBA528917CE072659B2FD525DDBC9FA20DA3209

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6Gnyp4Q5s1nPSyNxAqP8cOHe2EdMZn4Ob:6GyGQ5EnNxAqkcOHe2EdMZn4Ob

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:81588:hgBiEBAsmLIiIIScZ1zAGBJZA0ZmSBeKZYIh5hgMgColAARHhmhaQApmA7BAEDAsAaYWl5kxHAwBjAAwQDBlTUAUOc+gYBQk

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:bfff878f8f8fdfff
Perceptual Hash:b8c7c73cc2c03ce6
Difference Hash:614236363c3c36ce
Wavelet Hash:10fe8383878fcf07
Color Hash:#8a53ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data