Security Scan Report: www.kenw.org

Redirected to: https://www.kenw.org/npr-news/2025-12-10/philip-rivers-return-to-the-nfl-by-the-numbers

Submitted: Dec 14, 2025, 2:47:11 PMCompleted: Dec 14, 2025, 2:48:46 PMpubliccompleted
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Summary

This website contacted 69 IPs in 3 countries across 22 domains to perform 67 HTTP transactions. The main domain is kenw.org and was registered NaN years ago.

Submitted URL: https://www.kenw.org/2025-12-10/philip-rivers-return-to-the-nfl-by-the-numbers

Effective URL: https://www.kenw.org/npr-news/2025-12-10/philip-rivers-return-to-the-nfl-by-the-numbersRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age over 29 years (well‑established)
No malicious Indicators of Compromise matches found
No credential or payment forms present
Content appears to be a standard news article from a public radio station
Domain age information unavailable

Details

Page Title

Philip Rivers' return to the NFL, by the numbers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(86%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.kenw.org' is registered with subdomain 'www'. The second-level label 'kenw' is 4 characters long with 1 vowel and 3 consonants. Splitting it apart reveals two words: ken, w. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.kenw.org/2025-12-10/philip-rivers-return-to-the-nfl-by-the-numbers

Page Load Overview

43.93s
Total Load Time
67
HTTP Requests
22
Domains
3.0 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:8,343 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
86%
documentation technical
78%
news media journalism
60%
government public service
56%
adult content
54%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6718.165.122.116United States
AS16509AMAZON-02
018.214.53.154Ashburn, Virginia, United States
AS14618AMAZON-AES
018.165.122.17United States
AS16509AMAZON-02
0216.58.209.162United States
AS15169GOOGLE
0216.58.210.142United States
AS15169GOOGLE
0216.58.209.206United States
AS15169GOOGLE
0216.58.210.162United States
AS15169GOOGLE
0216.58.209.174United States
AS15169GOOGLE
018.165.122.126United States
AS16509AMAZON-02
0216.58.209.161United States
AS15169GOOGLE
6769--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152F309B592F0313E4283D2F2EF21B30DB992551BDACA5E41F5AC86446F93F929C1B21C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KoicB45mAcu0pjmczc5mAcu0pn8fWwUCLl:z45mAcu0pjmZ5mAcu0pn8fWwUCLl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:158173:4pbpSpRMRGYQESDQiAjQBaKLQ9HUKhScBQCG8JCYUG4gh0EQIVEQVARCtCwiFA4LAdARAhooK8EB1Z0ouQnMKCAAoBBYoSFA

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:0001ffffff878787
Perceptual Hash:be413e3609368f8d
Difference Hash:f653283c642d2d2d
Wavelet Hash:0000ff8fbf878787
Color Hash:#79d2a0

Scan History

Scan history not available

Unable to load historical scan data