Security Scan Report: governor.maryland.gov

Submitted: Oct 24, 2025, 5:52:31 PMCompleted: Oct 24, 2025, 5:55:52 PMpubliccompleted
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Summary

This website contacted 21 IPs in 3 countries across 10 domains to perform 64 HTTP transactions. The main domain is governor.maryland.gov.

Submitted URL: https://governor.maryland.gov/news/press/pages/Governor-Moore-Statement-on-SNAP-Benefit-Impacts-Due-to-the-Federal-Government-Shutdown.aspx

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate Maryland government statement with no security concerns.

Safety Factors
HTTPS connection
Official government branding and domain
No hidden or suspicious form fields collecting sensitive data
Domain age information unavailable

Details

Page Title

Governor Moore Statement on SNAP Benefit Impacts Due to the Federal Government Shutdown - Press Releases - News - Office of Governor Wes Moore

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

government public service

(85%)

Domain Information

The domain 'governor.maryland.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'governor'. The core label 'maryland' covers 8 characters holding two vowels versus six consonants. Breaking it apart gives one word: maryland. Average segment length settles at 8 characters. 'maryland' most often appears in Danish. You may catch it in Icelandic and Vietnamese as well. Taken together, it feels Danish with single-word simplicity.

Screenshot

Security scan screenshot of https://governor.maryland.gov/news/press/pages/Governor-Moore-Statement-on-SNAP-Benefit-Impacts-Due-to-the-Federal-Government-Shutdown.aspx

Page Load Overview

8.32s
Total Load Time
64
HTTP Requests
10
Domains
1.4 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:12,975 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service85% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
85%
news media journalism
74%
blog personal website
51%
documentation technical
48%
government
48%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
42104.18.17.121United States
AS13335CLOUDFLARENET
6216.239.34.36United States
AS15169GOOGLE
452.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4206.16.194.216United States
AS394572TYLERTECH-NIC1
3142.250.185.168United States
AS15169GOOGLE
313.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3104.18.16.121United States
AS13335CLOUDFLARENET
3216.239.32.36United States
AS15169GOOGLE
3104.17.208.240United States
AS13335CLOUDFLARENET
3142.251.140.168United States
AS15169GOOGLE
6421--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19CC319EF5C740017822382A5DA54BADCD513C4B7E6A9CA00FABC52495FD1FCB8A3F15A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:mg5C4j+JuMoGtaiNJVzp5x30Ap73SfMvLPLOASXOU4eYb:m2jaLCON

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:122221:AAAJwjGJnUoBAQAUaBE0JgAioGHsYeZEQmjAIBCQEDQVIDAEvNQmxUABBoegASPQ7EDHs8sipDACEBVsEhPUqggCENAiaAwA

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:ff000000ffffffff
Perceptual Hash:b40683e9e9cb5636
Difference Hash:e2accc631636161e
Wavelet Hash:3e000000c3dfffff
Color Hash:#7987d2

Scan History

Scan history not available

Unable to load historical scan data