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Security Scan Report: www.brown.edu

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Submitted: Oct 10, 2025, 9:22:16 PMCompleted: Oct 10, 2025, 9:23:25 PMpubliccompleted
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Summary

This website contacted 21 IPs in 2 countries across 8 domains to perform 43 HTTP transactions. The main domain is brown.edu and was registered NaN years ago.

Submitted URL: https://www.brown.edu/news/2025-10-09/clinton-rice-ogden-lectures

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Established domain age
Official academic institution domain
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Hillary Rodham Clinton and Condoleezza Rice to speak at Brown University in fall Ogden lectures | Brown University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(88%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'www.brown.edu' is registered with subdomain 'www'. Its registrable label 'brown' stretches across 5 characters containing 1 vowel alongside four consonants. Splitting it apart reveals 1 word: brown. Median word length is five characters. 'brown' most strongly signals English. Secondary signals appear in Galician and Chinese (Pinyin). Net impression: English phrase with single-word simplicity.

Screenshot

Security scan screenshot of https://www.brown.edu/news/2025-10-09/clinton-rice-ogden-lectures

Page Load Overview

34.72s
Total Load Time
43
HTTP Requests
8
Domains
2.9 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:13,976 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
88%
education
45%
forum community discussion
33%
adult content
28%
news
15%

Detected Features

Search
OG: Article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.11.206.40Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.185.98United States
AS15169GOOGLE
2184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.18.2.173United States
AS13335CLOUDFLARENET
2142.250.186.136United States
AS15169GOOGLE
2146.75.120.217Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2104.18.3.173United States
AS13335CLOUDFLARENET
2216.239.34.36United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
4321--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13173C721E0F96437027B90E2E3699B57E6E2C457C98B0D10F2EF47D41FEAC426A2B55C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:afHoTlrek7a12V0ENWeEF250ENqoTlV9fgEmfHPftoI0EEB:cHoTlSQ0E0eEE0ENqoTlV9fgEmfHPftC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74366:JAB4CZQSgwCSbITJkpcDDiNQG64TEeKvBKQCBEKUCkYSDoOFgBeKALAwPGSyBqAqMMicgCACA9IDMQKYJYYBBNkIm5FtAxxO

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:00ffffffffcbc3c1
Perceptual Hash:e11669194e447b6f
Difference Hash:8d0f0e665b1b9793
Wavelet Hash:00a3e3ffebc1c1c1
Color Hash:#1f2d93

Other Hashes

Crop Resistant:8d0f0e665b1b9793,018981cc8c818901,79656466e6c7d5c3

Scan History

Scan history not available

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