Security Scan Report: marylandmatters.org

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Submitted: Dec 5, 2025, 6:03:36 AMCompleted: Dec 5, 2025, 6:05:07 AMpubliccompleted
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Summary

This website contacted 30 IPs in 2 countries across 9 domains to perform 79 HTTP transactions. The main domain is marylandmatters.org and was registered NaN years ago.

Submitted URL: https://marylandmatters.org/2025/10/27/billionaire-mackenzie-scott-donates-101-million-to-umes-morgan-state/

The Cisco Umbrella rank of the primary domain is #664,045 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate and poses no security threat.

Safety Factors
Established domain with long history
Low ranking does not indicate malicious activity for a niche news site
Absence of phishing or malware indicators
Domain age information unavailable

Details

Page Title

Billionaire Mackenzie Scott donates $101 million to UMES, Morgan State - Maryland Matters

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

The domain 'marylandmatters.org' uses the non-profit oriented generic top-level domain (.org) and has no subdomain. Its registrable label 'marylandmatters' stretches across 15 characters holding four vowels versus 11 consonants. Segmentation suggests 2 words: maryland, matters. Median word length is 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://marylandmatters.org/2025/10/27/billionaire-mackenzie-scott-donates-101-million-to-umes-morgan-state/

Page Load Overview

0.99s
Total Load Time
79
HTTP Requests
9
Domains
2.9 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:14,866 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
35%
corporate
35%
other
33%
news
15%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
49172.67.70.181United States
AS13335CLOUDFLARENET
10216.58.206.35United States
AS15169GOOGLE
6172.67.142.245United States
AS13335CLOUDFLARENET
5162.247.243.29United States
AS54113FASTLY
2104.21.27.152United States
AS13335CLOUDFLARENET
2104.18.11.207United States
AS13335CLOUDFLARENET
2142.250.184.227United States
AS15169GOOGLE
2172.217.18.8United States
AS15169GOOGLE
2104.26.4.216United States
AS13335CLOUDFLARENET
2216.239.32.36United States
AS15169GOOGLE
7930--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130D34BA3B0D125710BB343EDD02E664DE722401BAD254C56F3AC9DE8ABC2DE9526373D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:e7Uow4Tx8ShYOK8tBqW36sappw0K2+FDhfumlg43dwj76zZexh:IUoDT7hRbtN36rnwCgrlg43dK6zZ2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:137238:LAUwQCAJBzK8RiB2Z6AGBPgUUZAQgAiKyBBNCGVtASuYCiZokDR6IEAYTDgAASAIAhGhKAwGBRAIYpFAEwxkeA9VqcgAV4hY

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:00ffdfffc3c3c3c1
Perceptual Hash:ed926767134c3865
Difference Hash:ce0c363203030303
Wavelet Hash:00ffc3dfc3c1c1c1
Color Hash:#98e06c

Scan History

Scan history not available

Unable to load historical scan data