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Security Scan Report: rivervalleyar911.gov

Submitted: Nov 2, 2025, 8:07:37 AMCompleted: Nov 2, 2025, 8:08:46 AMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 6 domains to perform 27 HTTP transactions. The main domain is rivervalleyar911.gov and was registered NaN years ago.

Submitted URL: http://rivervalleyar911.gov/

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

New parked domain with a circular redirect; low risk but monitor for future changes.

Risk Factors
Circular redirect (strong indicator of suspicious behavior)
Newly registered domain (<90 days)
UNRANKED domain (low reputation signal)
Safety Factors
No forms collecting credentials or payment information
No malicious Indicators of Compromise detected
Page is a standard parking page from a reputable registrar (Zoneedit)
Domain age information unavailable

Details

Page Title

Domain Parked « Zoneedit

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(72%)

Domain Information

Domain 'rivervalleyar911.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The second-level label 'rivervalleyar911' is 16 characters long split between five vowels and eight consonants, plus 3 digits. Segmentation suggests 4 words: river, valley, ar, 911. Median word length comes out to 4 characters. 'alley' most strongly signals Breton. Usage also turns up in Romanian and Lithuanian contexts. Taken together, it feels Breton with character flair.

Screenshot

Security scan screenshot of http://rivervalleyar911.gov/

Page Load Overview

21.55s
Total Load Time
27
HTTP Requests
6
Domains
373 KB
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:687 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
72%
government
48%
government public service
46%
corporate business
45%
technology software
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1418.66.102.106United States
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
1142.250.186.110United States
AS15169GOOGLE
164.68.200.42Etobicoke, Ontario, Canada
AS16686EDNS
164.68.200.54Etobicoke, Ontario, Canada
AS16686EDNS
1142.250.186.136United States
AS15169GOOGLE
118.66.102.11United States
AS16509AMAZON-02
12001:4860:4802:34::36United States
AS15169GOOGLE
118.66.102.53United States
AS16509AMAZON-02
12a00:1450:4001:804::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
2714--

Detected Technologies8

X-UA-Compatible
100%
Google-AnalyticsvUniversal
100%
WordPress
70%
Google Analytics
55%
PHP
50%
MySQL
50%
jQuery
20%
Hotjar
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12152976B988C657F024B1195F2BEE31E35E75616DF829CF662F8829C9F40ECB9871108

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:pZ6t2tWJZ/jIBOssv3jJ11onXgOYISbmRN3gMpIJ:/ee8xjItSjJHonwOrRN3gMpIJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13349:8KIDhCiCkArTBveKGAlKrlRZLASEGfBAEgAAIAMjkGigQIBEgBM8uZYI7IEyBQYqAEA0StRBKGBFCwxXBiG3pg3uRTsylBix

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:00ffffffffffc383
Perceptual Hash:bc4739576c165338
Difference Hash:c4320a2636000f1f
Wavelet Hash:00c3e7d3d3ff8181
Color Hash:#4062bf

Other Hashes

Crop Resistant:c4320a2636000f1f,0164d4c4d42b4401,5dacee1d02a55a5a

Scan History

Scan history not available

Unable to load historical scan data