Security Scan Report: www.wkyufm.org

Submitted: Dec 14, 2025, 2:45:05 PMCompleted: Dec 14, 2025, 2:45:53 PMpubliccompleted
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Summary

This website contacted 82 IPs in 3 countries across 21 domains to perform 84 HTTP transactions. The main domain is wkyufm.org and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing reputable domain (wkyufm.org)
No suspicious forms or data collection
No known malicious Indicators of Compromise
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

(85%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.wkyufm.org' is registered; it also runs on subdomain 'www'. Count 6 characters in 'wkyufm' split between one vowel and 5 consonants. Tokenizing the label suggests 3 words: w, kyu, fm. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

7.75s
Total Load Time
84
HTTP Requests
21
Domains
3.9 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:8,466 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
85%
news media journalism
76%
government public service
52%
adult content
46%
news/blog
35%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.58.210.170United States
AS15169GOOGLE
1216.58.210.142United States
AS15169GOOGLE
118.165.122.126United States
AS16509AMAZON-02
1199.232.172.134Stockholm, Stockholm County, Sweden
AS54113FASTLY
1216.58.210.131United States
AS15169GOOGLE
1100.25.127.3Ashburn, Virginia, United States
AS14618AMAZON-AES
1216.58.209.166United States
AS15169GOOGLE
1216.58.209.193United States
AS15169GOOGLE
118.165.122.107United States
AS16509AMAZON-02
1216.239.32.36United States
AS15169GOOGLE
8482--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T111F3F8B5A1F0352F92C392F2EF11B30AB9829517DA999E81F0EC86545F53FC29C1B61C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Uu4HXaheMiyzlgqOV9QzUi5tFu0bZWOmOIiFsQ5tFu0bZWb184WwHKumk:tioUi5bu09XmhzQ5bu09S84WwHKE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:159488:RCBKjg4G6QKAQgRAAAAUojLFJWuIMWGciQGKGLAx+L8DAApQgLBQIAAAghFRuAgYI0aoBLwQLIzInB4c1PAFAJUMgBGACAQh

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:0000ffffff878387
Perceptual Hash:bec13632c9b4c9c9
Difference Hash:29cd0222232f2f27
Wavelet Hash:9000ff9bbf878383
Color Hash:#79d2a0

Scan History

Scan history not available

Unable to load historical scan data