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Security Scan Report: occoquanva.gov

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Submitted: Oct 17, 2025, 9:54:39 PMCompleted: Oct 17, 2025, 9:57:51 PMpubliccompleted
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Summary

This website contacted 25 IPs in 2 countries across 10 domains to perform 142 HTTP transactions. The main domain is occoquanva.gov and was registered NaN years ago.

Submitted URL: https://occoquanva.gov/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate municipal website with no security concerns

Safety Factors
Official government domain
Established domain age (>10 years)
No suspicious forms or data collection
No malicious Indicators of Compromise
Consistent branding with the Town of Occoquan
Domain age information unavailable

Details

Page Title

Home - The Town of Occoquan

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(81%)

Domain Information

Domain 'occoquanva.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Count 10 characters in 'occoquanva' split between 5 vowels and 5 consonants. Segmentation suggests 4 words: oc, co, quan, va. Expect two characters per word on average. Most frequently, 'co' shows up in Czech. It also appears in Polish and Romanian contexts. Net impression: Czech phrase.

Screenshot

Security scan screenshot of https://occoquanva.gov/

Page Load Overview

8.76s
Total Load Time
142
HTTP Requests
10
Domains
8.5 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-US
Text Length:8,244 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service81% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
81%
government
48%
documentation technical
39%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
105199.16.172.203San Francisco, California, United States
AS2635AUTOMATTIC
18216.58.212.131United States
AS15169GOOGLE
7142.250.185.234United States
AS15169GOOGLE
544.220.127.6Ashburn, Virginia, United States
AS14618AMAZON-AES
5142.250.181.234United States
AS15169GOOGLE
5142.250.184.200United States
AS15169GOOGLE
5142.250.186.163United States
AS15169GOOGLE
5199.16.173.106San Francisco, California, United States
AS2635AUTOMATTIC
5142.250.186.78United States
AS15169GOOGLE
552.6.125.233Ashburn, Virginia, United States
AS14618AMAZON-AES
14225--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11334F8567CE42974212F32CA9097B37CB5AE8542C7046DE1B3FDB170DF4AFE224A251A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bwv34QgI+ZbJN5HTZt1Z399zva7m0Evnya5mXFYPn2P0m09Raa4w2lNf5V0ErtlR:9b0Evnya5miP2P0m0Uvmx+7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:247389:UAkFELAISAPBgJEYQBIyRJzEJC5jQiMtzhSABASoJIQUjRAYkFgohwJaUaVIDEhKCIE/UASEwakISiBAEZAFhQBjMYAgBqF4

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:0000383c3c3c0000
Perceptual Hash:8abe64868ea7256d
Difference Hash:e19d69696961c5e9
Wavelet Hash:3d0d3d3d3d3d1901
Color Hash:#c1e06c

Other Hashes

Crop Resistant:c6c8c0c0c0c0c8c6,8aa2232ba28278e2,e49c68696961c4e8

Scan History

Scan history not available

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