Security Scan Report: www.fcgov.com

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Submitted: Oct 8, 2025, 4:53:34 PMCompleted: Oct 8, 2025, 4:54:55 PMpubliccompleted
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Summary

This website contacted 48 IPs in 1 country across 12 domains to perform 44 HTTP transactions. The main domain is fcgov.com and was registered NaN years ago.

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

The Cisco Umbrella rank of the primary domain is #526,912 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate city website with no security concerns.

Safety Factors
Established government website
Low risk ranking but within top 1 M domains
No phishing or malware indicators
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

(52%)

Domain Information

The domain name 'www.fcgov.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'fcgov' stretches across 5 characters split between 1 vowel and 4 consonants. Segmentation suggests two words: fc, gov. Median word length comes out to 2.5 characters. 'fc' is most common in English usage. You will also see it in Malay and Vietnamese contexts.

Screenshot

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

Page Load Overview

19.84s
Total Load Time
44
HTTP Requests
12
Domains
978 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:12,221 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
52%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44142.251.168.155United States
AS15169GOOGLE
0104.17.25.14United States
AS13335CLOUDFLARENET
099.86.4.16United States
AS16509AMAZON-02
0151.101.1.229San Francisco, California, United States
AS54113FASTLY
0151.101.129.229San Francisco, California, United States
AS54113FASTLY
0216.239.34.36United States
AS15169GOOGLE
0142.250.185.138United States
AS15169GOOGLE
0142.250.185.99United States
AS15169GOOGLE
034.107.203.234Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
0172.217.23.104United States
AS15169GOOGLE
4448--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EDC3F811A0F1107F12A3E2D92BBAAB18FFD29043E206D540BAFD078E9FD6D52596735C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qFUMQjM2bgkDInzcMucMWDu0hsPG5s3s3zFdeorCnvzFx91wtrjnpowJW/4cMGPZ:ZjArASUUzFdeoOnvdyyzRp6ureM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123557:AgAQMg6gFoJwUxoAkI0OMKQAYZ/nMCCZiCXI3QEAQKKoViABgwCKMRuB1DApDAGY4I+ogxYWNAUACEQdgEwAoTY0CCEaFSJI

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:fff000ef0400ffff
Perceptual Hash:da45e5bab2a50e1a
Difference Hash:8e61318b55555555
Wavelet Hash:ff0000ff0000ffff
Color Hash:#862d44

Scan History

Scan history not available

Unable to load historical scan data