Security Scan Report: informationsecurity.wustl.edu

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Submitted: Aug 2, 2026, 10:07:19 AMCompleted: Aug 2, 2026, 10:08:52 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is informationsecurity.wustl.edu and was registered NaN years ago.

Submitted URL: https://informationsecurity.wustl.edu/cybersecurity-in-the-home-3-steps-households-can-take-2-2/

The Cisco Umbrella rank of the primary domain is #60,252 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site is an official university information security page with no phishing or malware indicators.

Safety Factors
Established institutional domain
No malicious scripts or network alerts
Only informational content with a search form
Domain age information unavailable

Details

Page Title

The Anatomy of a Data Breach: What to do When You Spot One | Office of Information Security | Washington University in St. Louis

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(60%)

Domain Information

You're looking at domain 'informationsecurity.wustl.edu' on the sponsored educational top-level domain (.edu) with subdomain 'informationsecurity'. Count 5 characters in 'wustl' split between 1 vowel and four consonants. It segments into three words: wu, st, l. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://informationsecurity.wustl.edu/cybersecurity-in-the-home-3-steps-households-can-take-2-2/

Page Load Overview

6.32s
Total Load Time
91
HTTP Requests
7
Domains
405 KB
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:4,937 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
60%
phishing scam
55%
documentation technical
50%
education
45%
healthcare medical
31%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25192.178.183.97Google · CDNUnited States
AS15169Google LLC
223.141.160.164Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
22192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
22142.251.14.95Google · CDNUnited States
AS15169Google LLC
914--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E88339F3C45C517B560B9389C9B2F35CF7AEE814DF06D3A8B6F89250E245EE1469230A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:aCC9ypJl/rDELaa5SpgLm18T/X68vqPObF3dGIZaxZn2vG+onYPpHwrNUf2p7gfw:aCCYJ/kea5SuLm18T/FNGIZaxZn2vG+y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86616:QgEQJwECNCElAFqACIsmlrcCRHBGAjCGRSLQdCEoBwjAC0NBCwKIpMEYpdMEnGsItoSxBVUABoACIE4CAKjASAAwhFEWDSxv

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:0000ffffffffefef
Perceptual Hash:b14f0b6b6293e463
Difference Hash:18301c1e161e1e1e
Wavelet Hash:0000c7efc7c7cfc3
Color Hash:#6ce0a2

Scan History

Scan history not available

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