Security Scan Report: www.alamosacitizen.com

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Submitted: Jul 1, 2026, 12:45:05 AMCompleted: Jul 1, 2026, 12:46:42 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 2 HTTP transactions. The main domain is alamosacitizen.com and was registered NaN years ago.

Submitted URL: https://www.alamosacitizen.com/podcast/episode-250-colorado-attorney-general-phil-weiser/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Legitimate news article with an internal login; low risk overall.

Risk Factors
Presence of a password field (credential form) on the page
Safety Factors
Self‑branding (no brand impersonation)
Well‑established domain age
No malicious IoC, YARA, or IDS alerts
Cross‑origin requests limited to advertising domains only
Domain age information unavailable

Details

Page Title

episode 250: Colorado Attorney General Phil Weiser - Alamosa Citizen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(74%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.alamosacitizen.com' is registered; it also runs on subdomain 'www'. Its registrable label 'alamosacitizen' stretches across 14 characters holding 7 vowels versus 7 consonants. Segmentation suggests three words: alamos, a, citizen. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.alamosacitizen.com/podcast/episode-250-colorado-attorney-general-phil-weiser/

Page Load Overview

6.64s
Total Load Time
95
HTTP Requests
9
Domains
1.1 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:3,034 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content74% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

adult content
74%
finance banking
64%
government public service
63%
news media journalism
43%
travel tourism
38%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
15192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
15192.0.78.154San Francisco, California, United States
AS2635Automattic, Inc
1534.194.141.73Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
15192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
15104.26.8.198Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
956--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5345DB6400C58BB07B7C389A449F7ACF0AF6265D640CEC1F5B6517896C8EB23C77A46

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:8ZkI6UbOBMkBEhn+A33rlvtC8LZpKJJuBiojJMfAZccyN+sGKAP0AS/BroB9f5OY:8ZX6KnrlvtC8LZpNx4eh0Kr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:233530:YIBnSAZAzmAYEQQBBIJZ0GYEgCFhTBSiIgiIrkirTllRRAUKhEkZlkAQyCIp8EMRhuoZQyMA2EEA7rAcgIzBYCKJAAAAsKDv

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:00ffffff83878787
Perceptual Hash:becd41364949c63d
Difference Hash:c52e623f2f2d2f2f
Wavelet Hash:00cbffc783878387
Color Hash:#40bfb0

Scan History

Scan history not available

Unable to load historical scan data