Security Scan Report: bouldercityreview.com

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Submitted: Jul 29, 2026, 1:22:15 PMCompleted: Jul 29, 2026, 1:23:42 PMpubliccompleted
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Summary

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

Submitted URL: https://bouldercityreview.com/news/hoover-dam-is-headed-for-trouble-under-new-emergency-colorado-river-plan-122894/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate news outlet with no malicious indicators.

Safety Factors
Established domain with long registration history
Content classified as news article (og:type=article)
No suspicious forms or credential exfiltration
No malicious JavaScript patterns detected
Domain age information unavailable

Details

Page Title

Lake Mead, Hoover Dam to suffer from low levels under Trump administration’s plan | Boulder City Review

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(53%)

Domain Information

You're looking at domain 'bouldercityreview.com' on the commercial generic top-level domain (.com) without a subdomain. The second-level label 'bouldercityreview' is 17 characters long split between seven vowels and 10 consonants. Tokenizing the label suggests 3 words: boulder, city, review. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bouldercityreview.com/news/hoover-dam-is-headed-for-trouble-under-new-emergency-colorado-river-plan-122894/

Page Load Overview

3.86s
Total Load Time
62
HTTP Requests
19
Domains
1.6 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:16,606 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism53% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
53%
entertainment media
52%
news/blog
50%
corporate
35%
government public service
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1423.207.210.140Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
665.8.131.5Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
6142.251.14.156Google · CDNUnited States
AS15169Google LLC
6192.0.66.2San Francisco, California, United States
AS2635Automattic, Inc
618.245.31.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6142.251.13.95Google · CDNUnited States
AS15169Google LLC
6192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
629--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD644B33A4C0507F5A13516ACA88EE0CB223E55FCF098AD9FB9C5158C7C7EA6566723C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:e2Sn3LAW55lZYu9jV2TmIkRfMaETH22ixWFyMkJi6s1:eJ3LAW5hAixBMkJiN1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:311834:w0C4QQBGQsJxJBAToKjAURqXcQ014pQIwJUzgQMaVISCCKBMVRHDIAMAAFBBGmQyhgkgIgYUAoWIMLMCiZWE5QgiJAFRiUM1

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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