Security Scan Report: alumni.gwu.edu

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Submitted: Oct 31, 2025, 10:00:50 AMCompleted: Oct 31, 2025, 10:02:26 AMpubliccompleted
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Summary

This website contacted 68 IPs in 3 countries across 19 domains to perform 75 HTTP transactions. The main domain is alumni.gwu.edu and was registered NaN years ago.

Submitted URL: https://alumni.gwu.edu/dana-bash

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate alumni page with no security concerns.

Safety Factors
Established university subdomain (alumni.gwu.edu)
No suspicious forms or data collection
No external links or redirects
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

Dana Bash | GW Alumni | The George Washington University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(83%)

Domain Information

Domain 'alumni.gwu.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'alumni'. The core label 'gwu' covers 3 characters containing 1 vowel alongside two consonants. Breaking it apart gives 1 word: gwu. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://alumni.gwu.edu/dana-bash

Page Load Overview

35.76s
Total Load Time
75
HTTP Requests
19
Domains
1.2 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
Text Length:9,164 chars
Detector Agreement:75%

Website Classification

Primary Category

news media journalism83% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
83%
education
45%
corporate
35%
entertainment media
27%
government public service
26%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1142.250.185.132United States
AS15169GOOGLE
1142.250.186.168United States
AS15169GOOGLE
134.198.122.35Ashburn, Virginia, United States
AS14618AMAZON-AES
1104.18.8.37United States
AS13335CLOUDFLARENET
118.157.207.220Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1216.239.34.36United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
7568--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2F36C2569502037195B40C2A1AF5A08BD2DE61FF7025C9BF4EE85987BD9FF034AB31E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:iRlXSQYT1a3SFWhZZca8PmFPsT4RIkCmByq43GI+uAH6htZsLPrjq6G:1QYzFWfoHmB1tHJ6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:172891:KVsARWyMAhZDQIbBZDHSKYxQGCpmLQtBQBQGRigwFEEB1AiPAiiAw6CAmQgMNAqgJUI3xAQA99KxAIrYCIUkLpgM0ckjpEMY

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:ffe7e7ffffffff00
Perceptual Hash:b2e346cc0cf923e6
Difference Hash:0a4e0c1c32343055
Wavelet Hash:fa00c787c79f9f00
Color Hash:#40bfae

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data