Security Scan Report: roscommon911.gov

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Submitted: Nov 28, 2025, 1:46:29 AMCompleted: Nov 28, 2025, 1:49:47 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 6 domains to perform 34 HTTP transactions. The main domain is roscommon911.gov and was registered NaN years ago.

Submitted URL: https://roscommon911.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official .gov domain
Domain age of 206 days (>180 days)
No malicious Indicators of Compromise matches found
No credential or payment forms present
Content aligns with public safety agency
Domain age information unavailable

Details

Page Title

Home - Roscommon County 911

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(95%)

Domain Information

The domain name 'roscommon911.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The core label 'roscommon911' covers 12 characters split between three vowels and six consonants, plus three digits. Breaking it apart gives two words: roscommon, 911. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://roscommon911.gov/

Page Load Overview

2.24s
Total Load Time
34
HTTP Requests
6
Domains
2.9 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:2,613 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
95%
blog personal website
81%
news media journalism
80%
documentation technical
79%
adult content
79%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19172.67.174.180United States
AS13335CLOUDFLARENET
4192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
4142.250.185.99United States
AS15169GOOGLE
3104.21.88.93United States
AS13335CLOUDFLARENET
32606:4700:3036::6815:585dUnited States
AS13335CLOUDFLARENET
32606:4700:3036::ac43:aeb4United States
AS13335CLOUDFLARENET
32a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
2192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
250.6.109.87Ashburn, Virginia, United States
AS31898ORACLE-BMC-31898
349--

Page Statistics

34
Requests
9
Unique Domains
3.1 MB
Total Size

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD24F98FB3B530BA712B4A19B19DB738E92C9003D64519E6F8B5E2348FCA5E7015531E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XVRPIfdGJaaplwqRLUYXplWlMl6lxaXD2JOnxn+PZMfGVcbhODUr8ww8ub4kE9dT:bwMWwwX4k2e9423s4542ARkVE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:227344:GFA+0ABSGwESoBQyu8QCDIIgHQpAFAwRBWkIMIgyZoMUCVIAWAHjZRCUlIgEOUIJMJUE1T7hMTCC4AkBrTYCJAQhY1oJBQAD

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:c14301017d617f7f
Perceptual Hash:aa3cd4e0da2f4396
Difference Hash:a38f55019595d5d5
Wavelet Hash:c1c301017d617f7f
Color Hash:#e0966c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data