Security Scan Report: www.fcgov.com

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Submitted: Oct 26, 2025, 8:35:31 AMCompleted: Oct 26, 2025, 8:37:07 AMpubliccompleted
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Summary

This website contacted 46 IPs in 3 countries across 11 domains to perform 36 HTTP transactions. The main domain is fcgov.com and was registered NaN years ago.

Submitted URL: https://www.fcgov.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate government website.

Safety Factors
Official municipal website of Fort Collins
Long‑standing domain registration
Standard informational content only
Domain age information unavailable

Details

Page Title

Official Web Site of the City of Fort Collins

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(48%)

Domain Information

You're looking at domain 'www.fcgov.com' on the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'fcgov' is 5 characters long with 1 vowel and four consonants. Segmentation suggests two words: fc, gov. Average segment length settles at 2.5 characters. 'fc' is most common in English usage. It also appears in Malay and Vietnamese contexts.

Screenshot

Security scan screenshot of https://www.fcgov.com/

Page Load Overview

35.90s
Total Load Time
36
HTTP Requests
11
Domains
606 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:12,186 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
48%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0172.217.18.10United States
AS15169GOOGLE
0142.250.185.163United States
AS15169GOOGLE
0142.250.186.72United States
AS15169GOOGLE
013.32.27.112New York, New York, United States
AS16509AMAZON-02
0198.59.47.203Fort Collins, Colorado, United States
AS394748CITYOFFORTCOLLINS
0216.239.34.36United States
AS15169GOOGLE
0142.251.168.154United States
AS15169GOOGLE
0104.16.174.226United States
AS13335CLOUDFLARENET
0104.16.175.226United States
AS13335CLOUDFLARENET
0104.17.25.14United States
AS13335CLOUDFLARENET
3646--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13DC30811A0F1107F11A3E2D96BB9AB18FFD29143E206C640BBFD078E9FD6D52986725C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:8MQEM2bgkDInzcMucMWDulbSDXG5s3s3z68X8CnvzFx91wtrjnpowJW/4cMGPpPf:QEARbSUUz68XvnvdyyzRp6ureM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:125315:LORFCIyGZKGgBKEGj74GCBE0cIgiCSGQC7Bh6gAxCAgAJowxDEMOlgoShADlHM3oBQBlQLBAg0nLgRQYAMlCAQVJDhT1nRCi

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:fff800e5ff3080ff
Perceptual Hash:ce11f8eeb1620eb1
Difference Hash:8e6131cd08555555
Wavelet Hash:ff000067ff3080ff
Color Hash:#6ce096

Scan History

Scan history not available

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