Security Scan Report: bouldercolorado.gov

Submitted: Nov 25, 2025, 2:12:41 AMCompleted: Nov 25, 2025, 2:15:19 AMpubliccompleted
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Summary

This website contacted 45 IPs in 3 countries across 14 domains to perform 98 HTTP transactions. The main domain is bouldercolorado.gov and was registered NaN years ago.

Submitted URL: https://bouldercolorado.gov/

The Cisco Umbrella rank of the primary domain is #751,743 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established government domain
Long domain age indicating stability
Absence of credential or payment collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Home | City of Boulder

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(73%)

Domain Information

Domain 'bouldercolorado.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'bouldercolorado' is 15 characters long with seven vowels and eight consonants. Word splitting yields two words: boulder, colorado. The median word length lands at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.67s
Total Load Time
98
HTTP Requests
14
Domains
2.5 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
Text Length:2,372 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service73% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
73%
forum community discussion
60%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7623.185.0.3United States
AS54113FASTLY
103.171.214.104United States
AS16509AMAZON-02
452.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2216.239.34.36United States
AS15169GOOGLE
2142.250.186.110United States
AS15169GOOGLE
2104.26.13.42United States
AS13335CLOUDFLARENET
2142.251.140.168United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
2104.26.12.42United States
AS13335CLOUDFLARENET
9845--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14443E53291F0683B414347D3BB756B3EEAEAE497C30A4884B2EC42598FD6E558E1760D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:orAtC4w2EGc8A4YeM0kg62cAuj0Hfi/xyTpfxlkVAwRwIcLZl6MevgFzr9Qwoavk:orAtC4w2EGc8A4YeM0kg62cAuj0HfiwK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57125:ARUImjAUEYnDzNAjJY2DCAI2gAghBQE1Fk2MKkCUGHtaXJQaCxBqAAAxTAwAYwgHEGhhiDKwSQMrEDVBOCIGkpGFBU4ABAEk

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:00ffffffc00000df
Perceptual Hash:eb8f1f72680c1c72
Difference Hash:e0433523898c0b33
Wavelet Hash:00ffffffc00080e3
Color Hash:#3a7840

Scan History

Scan history not available

Unable to load historical scan data