Security Scan Report: lusk.usc.edu

Site favicon
Submitted: Aug 20, 2026, 11:17:17 PMCompleted: Aug 20, 2026, 11:18:43 PMpubliccompleted

This website contacted 2 IPs in 1 country across 5 domains to perform 23 HTTP transactions. The main domain is lusk.usc.edu and was registered 41 years ago.

Submitted URL: https://lusk.usc.edu/membership/people/aisha-wahab

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

The page is a legitimate university profile with no malicious indicators.

Safety Factors (5)
Established domain (14975 days old)
Self‑branding matches domain
No credential or payment forms
No Indicators of Compromise or malware matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Aisha Wahab | USC Lusk

Scan Type

public

Domain Name Analysis

Domain 'lusk.usc.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'lusk'. Its registrable label 'usc' stretches across 3 characters with one vowel and 2 consonants. Splitting it apart reveals one word: usc. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lusk.usc.edu/membership/people/aisha-wahab

Page Load Overview

1.11s
Total Load Time
737 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,037 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service96% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
96%
real estate property
93%
blog personal website
90%
news media journalism
88%
documentation technical
87%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12142.251.14.97Google · CDNUnited States
AS15169Google LLC
1123.185.0.2United States
AS54113Fastly, Inc.
232--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3D27302A8E02137025209CAAB757F25FA93D183E7066942B2BD0B1D9FDED155D2FF2D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:c2ZCddOUQNgT4oG5HiC006NpLQrEIwo9rc7Zt3Ouv:c2ZCddOhNgT4oGRiC006NpLQrEIwog3V

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30315:kiZcBPNGYQMtgwkih4QGhoT4EoYQAwJABEgADKJOAQgOYFlYkLKCNACQMJDpFQAOPoQmoRjdCi0NmRBmDcAGWoYwAA4BCQyN

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:0000ffffffffffff
Perceptual Hash:bc4f023e4cc3bcb4
Difference Hash:c5cd3a22222b8c8c
Wavelet Hash:0000dffb83c3e7c7
Color Hash:#1f9388

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data