Security Scan Report: cua911.gov

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Submitted: Dec 24, 2025, 1:04:13 AMCompleted: Dec 24, 2025, 1:04:43 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 50 HTTP transactions. The main domain is cua911.gov and was registered NaN years ago.

Submitted URL: https://cua911.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no detected security concerns.

Safety Factors
Well-established domain
.gov TLD
No suspicious forms or external links
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Charlottesville-UVA-Albemarle Emergency Communications Center

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(71%)

Domain Information

You're looking at domain 'cua911.gov' on the United States government-restricted top-level domain (.gov) and has no subdomain. The registrable portion 'cua911' spans 6 characters containing 2 vowels alongside 1 consonant; bonus characters include three digits. Segmentation suggests 3 words: cu, a, 911. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cua911.gov/

Page Load Overview

4.50s
Total Load Time
50
HTTP Requests
3
Domains
1.8 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:2,659 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service71% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
71%
government
48%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18172.217.18.10United States
AS15169GOOGLE
16216.58.206.67United States
AS15169GOOGLE
16167.172.229.84Clifton, New Jersey, United States
AS14061DIGITALOCEAN-ASN
503--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135F3F863973955F6209F16A2A89A630DF7C5A901CB124BD2F1B8C20492CDE761CF3B5F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:PBhKKvwJSUwbUh6cgdSrG+FNzIOj2pTCBqZEd6wxNqj:5hKKvwHh6Wo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:161726:GEAQgAEQEBdYUYDGKgEopyigQOEtvqIsiCGgIgsIQUDlhUoyLAIRxCQnFAKS2oLSnbDDWkMKYDpIIQAjICA6EKIEDQQKUE9w

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:ff2800000e0707ff
Perceptual Hash:9149eab4d926fe50
Difference Hash:61d1d15cd81ccc4b
Wavelet Hash:ff6c000e0e0707ff
Color Hash:#e0aa6c

Scan History

Scan history not available

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