Security Scan Report: www.qac.org

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Submitted: Nov 26, 2025, 6:06:07 AMCompleted: Nov 26, 2025, 6:07:33 AMpubliccompleted
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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%

1
Risk Score

The site appears to be a legitimate government website with no evident security threats.

Safety Factors
Long‑standing domain registration
No credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum community discussion

(50%)

Domain Information

Domain 'www.qac.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The second-level label 'qac' is 3 characters long containing one vowel alongside two consonants. Breaking it apart gives 2 words: qa, c. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.99s
Total Load Time
78
HTTP Requests
6
Domains
13.3 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:6,428 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion50% confidence
Type: spa
Method: ml+structural

All Detected Categories

forum community discussion
50%
government public service
36%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
63208.90.190.1United States
AS393775IPP-AS
7142.250.186.131United States
AS15169GOOGLE
5216.239.34.36United States
AS15169GOOGLE
52a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
52620:1ec:46::44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
52001:4860:4802:32::36United States
AS15169GOOGLE
52001:4860:4802:34::36United States
AS15169GOOGLE
52620:1ec:bdf::44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
52a00:1450:4001:82a::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
513.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7815--

Detected Technologies1

JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DDD33AE4A34C2837812331C1F43AEB88A9BA9636F2075C51FCBD62749BD0CF5E5255AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jZrYPcA4CG1YkAF8rsc+n3SDrZsELnIOPeQLZ9YEs7S4IACjByjl8z6rYWWqgaRJ:jV+7doPeQLZpdACjUjl8zq5BQ7tHo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:142144:SQFCCBkEBMjJ4MCgAJw5ASnoIiQUFwBA45EEIAIMVNACDlCCYQmlDAiAXwmA9VkMow/yA5MCT5EGhBEyCAmQA8CBQRAoMwJS

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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