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Security Scan Report: www.visitfrederick.org

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Submitted: Oct 11, 2025, 7:57:11 AMCompleted: Oct 11, 2025, 8:00:11 AMpubliccompleted
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Summary

This website contacted 117 IPs in 4 countries across 31 domains to perform 276 HTTP transactions. The main domain is visitfrederick.org and was registered NaN years ago.

Submitted URL: https://www.visitfrederick.org/eat-drink/restaurants/pizza/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (registered 1998)
No malicious Indicators of Compromise detected
Only standard search forms present
Domain age information unavailable

Details

Page Title

Pizza in Frederick, Maryland | Italian Restaurants & Pizza Shops

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(37%)

Domain Information

The domain 'www.visitfrederick.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. Count 14 characters in 'visitfrederick' with five vowels and nine consonants. It segments into two words: visit, frederick. Median word length comes out to seven characters. The linguistic tilt is Latvian for 'visi'. You may catch it in English and Chinese (Pinyin) as well.

Screenshot

Security scan screenshot of https://www.visitfrederick.org/eat-drink/restaurants/pizza/

Page Load Overview

1.56s
Total Load Time
276
HTTP Requests
31
Domains
2.7 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:6,446 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical37% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
37%
healthcare medical
36%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1702.18.64.94Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11172.66.137.211United States
AS13335CLOUDFLARENET
11104.18.28.155United States
AS13335CLOUDFLARENET
10216.239.32.36United States
AS15169GOOGLE
8184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7104.18.0.22United States
AS13335CLOUDFLARENET
6142.250.185.232United States
AS15169GOOGLE
552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4142.250.184.234United States
AS15169GOOGLE
276117--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17434C611766E6D3B400B32C2F258E789706FF7B3ED5A11D4B0BE49AC2FC2D516A0B525

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9/mfima9cBImWKM4D0U8qcJfmf4Im/ivHIXViU8qn/bTGM/G:JmUvSD0U8q+fmnmavHIXViU8qnDx/G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:248478:BTGIpWNnjUxcGgkQEgCFyQqIQAoAIIBFQuCEJjuUBgkhGDMQIYRGCBAVxiIXUkBCwJJBRIBEhQNwWGtHzgiZoLSSAQAQCpsF

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:00b8bbe7c1b0b8fd
Perceptual Hash:ef275a6e30132539
Difference Hash:2963424a43437939
Wavelet Hash:00b8abe3c3b0b8fd
Color Hash:#78663a

Other Hashes

Crop Resistant:2963424a43437939,2d1f2961634b4262,1d1b2945c91331b8,63191998cb8b8c82,15c98b933a3871e1

Scan History

Scan history not available

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