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Security Scan Report: millercenter.org

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Submitted: Oct 26, 2025, 6:46:31 PMCompleted: Oct 26, 2025, 6:49:31 PMpubliccompleted
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Summary

This website contacted 39 IPs in 2 countries across 10 domains to perform 68 HTTP transactions. The main domain is millercenter.org and was registered NaN years ago.

Submitted URL: https://millercenter.org/margaret-brennan

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational site with no security concerns.

Safety Factors
Long‑standing domain registration
Official university affiliation
Standard informational website with only search forms
Domain age information unavailable

Details

Page Title

Margaret Brennan | Miller Center

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(80%)

Domain Information

The domain name 'millercenter.org' uses the non-profit oriented generic top-level domain (.org). The core label 'millercenter' covers 12 characters split between 4 vowels and eight consonants. It segments into 2 words: miller, center. The median word length lands at six characters. 'miller' is most common in Chinese (Pinyin) usage. Secondary signals appear in English and Catalan.

Screenshot

Security scan screenshot of https://millercenter.org/margaret-brennan

Page Load Overview

1.91s
Total Load Time
68
HTTP Requests
10
Domains
1.8 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:5,226 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
80%
government public service
48%
news/blog
35%
adult content
30%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4652.87.65.167Ashburn, Virginia, United States
AS14618AMAZON-AES
4142.250.184.200United States
AS15169GOOGLE
318.173.205.20United States
AS16509AMAZON-02
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
218.173.205.120United States
AS16509AMAZON-02
2216.239.32.36United States
AS15169GOOGLE
23.121.197.196Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2172.67.142.245United States
AS13335CLOUDFLARENET
152.222.236.124United States
AS16509AMAZON-02
6839--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14963DAE231892135051726C2A7CD522CE572A5A7D7050D8DB2BC371E9FC7F689BA322F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sbMCMPMCMfMCM8MCMGMCM/MCMtMCMAsVMJIQhbAqGHOH3j8zr8rDRcyiR6Ea3rER:s59AqGHKPFQF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:68074:CT8CUAAG5iBMwBIQoRIbB6IMAAAgQwAAkQkKkUqAlxBDAwkiAYhAqZ1uIAHYQPCKAF2EA4QTeQFyFqBADMxQvAAkIWIQUg8g

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:8f8fc7dbdbcbc3c3
Perceptual Hash:b93126cccc3333d3
Difference Hash:32189c92b2961c0c
Wavelet Hash:8583c3dbd8d8c0c0
Color Hash:#1f5993

Other Hashes

Crop Resistant:32189c92b2961c0c,c84f35d157b53753,192d6d6d6d692d6d

Scan History

Scan history not available

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