Security Scan Report: www.qac.org

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Submitted: Oct 29, 2025, 6:29:55 PMCompleted: Oct 29, 2025, 6:31:39 PMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 6 domains to perform 78 HTTP transactions. The main domain is qac.org and was registered NaN years ago.

Submitted URL: https://www.qac.org/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate county website with no security concerns.

Safety Factors
Long‑standing domain registration
Official government branding and content
Absence of suspicious forms or redirects
Domain age information unavailable

Details

Page Title

Queen Anne's County, MD - Official Website | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(65%)

Domain Information

The domain 'www.qac.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. Count 3 characters in 'qac' split between 1 vowel and 2 consonants. Splitting it apart reveals two words: qa, c. Median word length comes out to 1.5 characters. The linguistic tilt is Breton for 'c'. It also appears in Vietnamese and Albanian contexts.

Screenshot

Security scan screenshot of https://www.qac.org/

Page Load Overview

36.71s
Total Load Time
78
HTTP Requests
6
Domains
9.7 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:5,918 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service65% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
65%
documentation technical
36%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.212.68.212Redmond, Washington, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5216.239.34.36United States
AS15169GOOGLE
5208.90.190.1United States
AS393775IPP-AS
5142.250.186.35United States
AS15169GOOGLE
5142.250.185.74United States
AS15169GOOGLE
5142.250.185.72United States
AS15169GOOGLE
52a00:1450:4001:830::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
5142.250.186.106United States
AS15169GOOGLE
52a00:1450:4001:80b::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
5216.239.32.36United States
AS15169GOOGLE
7815--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D6E33BF4B64C2837812331C1F47AEB8869BB9636E60B5C51FCBD22615FD0CE0E5355AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jhJYAcA4C61hkAfkrsu+n3SDrZsELnIoPeQiIACjByjl8zLeKeZWWqgaR+xTUbjl:jc+ALgPeQzACjUjl8zL5BQ7tQT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:144571:sAgLCAiIgAZoQBgTVIQIiAekGAEIBJcbkAQCQBGanEXrMacyIQA8WgCFVMbCx2AmoEyAQ15YYCBQlpAwBAGEQoAwAqAAkBAJ

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:ff00000000ffff9f
Perceptual Hash:be419ee15c833c4d
Difference Hash:c6815501008c6833
Wavelet Hash:ff00000080ffffbf
Color Hash:#4084bf

Scan History

Scan history not available

Unable to load historical scan data