Security Scan Report: www.craigdailypress.com

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Submitted: Jul 1, 2026, 1:20:46 PMCompleted: Jul 1, 2026, 1:21:46 PMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 13 domains to perform 2 HTTP transactions. The main domain is craigdailypress.com and was registered NaN years ago.

Submitted URL: https://www.craigdailypress.com/news/opinion-marx-if-elected-heres-my-plan-to-restore-tabor-and-respect-for-colorados-taxpayers/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows no malicious indicators, uses its own brand, and has no credential or payment forms; it is classified as legitimate.

Safety Factors
Well‑established domain with long registration history
Self‑branding aligns with domain, no brand impersonation
Absence of credential or payment collection forms
No malicious network or IDS alerts
No malicious JavaScript behavior detected
Domain age information unavailable

Details

Page Title

Opinion | Marx: If elected, here’s my plan to restore TABOR and respect for Colorado’s taxpayers | CraigDailyPress.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(88%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.craigdailypress.com' is registered; it also runs on subdomain 'www'. The second-level label 'craigdailypress' is 15 characters long split between 5 vowels and 10 consonants. Tokenizing the label suggests 3 words: craig, daily, press. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.craigdailypress.com/news/opinion-marx-if-elected-heres-my-plan-to-restore-tabor-and-respect-for-colorados-taxpayers/

Page Load Overview

6.33s
Total Load Time
88
HTTP Requests
19
Domains
4.4 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:8,659 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network88% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
88%
news media journalism
77%
government public service
53%
forum community discussion
48%
news/blog
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.67.75.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
618.172.112.16Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6104.18.14.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
699.84.152.40Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.250.154.157Google · CDNUnited States
AS15169Google LLC
6142.251.110.97Google · CDNUnited States
AS15169Google LLC
616.15.237.40Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
6143.204.173.87Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8813--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183346CB3D88C343F411702C9B02AB28DA16FA977F72144E1B9FF866037C2DAA55535AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wqbXgt4j2FMZ6TSsu+u53VPedM1tU615gFe4RnNss+OHLoQeYGDtZoW8j6ZxrcUo:wqTdcRhdM1tt15gFJMu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:240883:WYMUFsABGgF8YgAOSQJwegIkgQ6Mx4IhmMIAXxvISSlNoKwIQCDRegBgB9EhBgaAoQ16ggEASrIFKy4AQ3QGqIQACLIEcMRE

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:0000ffffffcfc7cf
Perceptual Hash:b1ce3146c497b1ce
Difference Hash:d0032e61139b9b9a
Wavelet Hash:000083fffbc5c7c7
Color Hash:#c58787

Scan History

Scan history not available

Unable to load historical scan data