ScanMalware.com

Security Scan Report: www.denverpost.com

Submitted: Oct 12, 2025, 12:00:06 AMCompleted: Oct 12, 2025, 12:03:40 AMpubliccompleted
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Summary

This website contacted 200 IPs in 7 countries across 75 domains to perform 260 HTTP transactions. The main domain is denverpost.com and was registered NaN years ago.

Submitted URL: https://www.denverpost.com/2025/10/11/kaidon-salter-deion-sanders-cu-buffs-iowa-state-score/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article with no security concerns.

Safety Factors
Well-established domain with minimal reputation risk
No credential or payment collection forms
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

CU Buffs' Kaidon Salter, Deion Sanders silence critics, upset Iowa State

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(57%)

Domain Information

Domain 'www.denverpost.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The core label 'denverpost' covers 10 characters holding 3 vowels versus seven consonants. Tokenizing the label suggests two words: denver, post. Expect 5 characters per word on average. 'denver' most strongly signals English. Secondary signals appear in Dutch and Chinese (Pinyin).

Screenshot

Security scan screenshot of https://www.denverpost.com/2025/10/11/kaidon-salter-deion-sanders-cu-buffs-iowa-state-score/

Page Load Overview

8.58s
Total Load Time
260
HTTP Requests
75
Domains
2.2 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:12,841 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism57% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
57%
news/blog
50%
technology software
38%
corporate
35%
news
15%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46192.0.66.2San Francisco, California, United States
AS2635AUTOMATTIC
1313.33.187.34New York, New York, United States
AS16509AMAZON-02
1191.134.60.128France
AS16276OVH SAS
8216.239.32.36United States
AS15169GOOGLE
713.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7142.250.185.99United States
AS15169GOOGLE
652.223.40.198United States
AS16509AMAZON-02
63.66.56.226Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5142.250.185.232United States
AS15169GOOGLE
534.149.50.64Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
260200--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF541CF2688C353E022765C4F499B709B7B38427CF8918D1B3EE9718C7C6F5925A626C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5JsoYw9doKXrX8K9CGGQLeWfkEXZVU0sRjb88gsJHpzRC8et2fbYbt8LxjjSvGga:JYUjZAet2fkzIkgUlx9u

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:295599:ABIxEMEACCIKYh+qB4XMEOwCABagSMy5APCxKyFARHC0DOUQhdY4SAQugOCkR6UJcIEnlaSZUABEYiACARAEDKAUxA4LGSHY

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:ecffffffffdf8301
Perceptual Hash:bec03ed04ab64b36
Difference Hash:cd0a11003b3b2f0f
Wavelet Hash:64c3ffff81878300
Color Hash:#6ce070

Other Hashes

Crop Resistant:cd0a11003b3b2f0f,2e365f4f5e939ba0

Scan History

Scan history not available

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