Security Scan Report: cliftonva.gov

Submitted: Nov 20, 2025, 4:23:26 AMCompleted: Nov 20, 2025, 4:26:29 AMpubliccompleted
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Summary

This website contacted 115 IPs in 2 countries across 17 domains to perform 130 HTTP transactions. The main domain is cliftonva.gov and was registered NaN years ago.

Submitted URL: https://cliftonva.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Domain age over 8 years (well established)
No malicious Indicators of Compromise matches found
No password or payment fields in any forms
Official government domain (cliftonva.gov)
Content matches expected municipal website
Domain age information unavailable

Details

Page Title

Clifton, VA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

The domain name 'cliftonva.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Its registrable label 'cliftonva' stretches across 9 characters holding three vowels versus six consonants. Splitting it apart reveals 2 words: clifton, va. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.74s
Total Load Time
130
HTTP Requests
17
Domains
5.3 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:4,931 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
59%
government
48%
real estate property
41%
documentation technical
31%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
63129.153.208.86Phoenix, Arizona, United States
AS31898ORACLE-BMC-31898
12172.67.74.90United States
AS13335CLOUDFLARENET
11195.181.175.40Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
6142.250.186.67United States
AS15169GOOGLE
5104.16.175.226United States
AS13335CLOUDFLARENET
3104.17.25.14United States
AS13335CLOUDFLARENET
335.83.67.84Boardman, Oregon, United States
AS16509AMAZON-02
3172.217.23.110United States
AS15169GOOGLE
3172.217.18.4United States
AS15169GOOGLE
2151.101.194.137San Francisco, California, United States
AS54113FASTLY
130115--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3F3C371E0403C7B216F1BD46270B78B77A3A26BDA86444A76EC5BF31FD1C61BC8A164

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hvWEvCXQ6SY0vjTnlWw+/th7hwe+9KlNzxS0HVSgVYj3KSSSAqsvQjmVg17upIf:hvWEvUSDh+/thlzznoqYz7mVg17P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:164799:JU0CDsJQAQIAAWIBMMFkIQ+FZkBFCTBtHIAl7BMkAIBYlAaUABwADAwKAwRhxB4GXAAkXlJrgEqyBAyEKYQEAAKEwmGayEAe

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:ff00c00006040cff
Perceptual Hash:b069cb16f6d8c0d5
Difference Hash:9d6b929cacbc3919
Wavelet Hash:ff09c206060e0fff
Color Hash:#4c931f

Scan History

Scan history not available

Unable to load historical scan data