Security Scan Report: www.wvik.org

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Submitted: Completed: publiccompleted
This website contacted 40 IPs in 2 countries across 22 domains to perform 95 HTTP transactions. The main domain is wvik.org and was registered 27 years ago.

Submitted URL: https://www.wvik.org/podcast/heartland-politics-with-robin-johnson/2024-02-01/author-consultant-patrick-ruffini-demographic-trends-pointing-to-gop-multiracial-working-class-majority

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official WVIK (Quad Cities NPR) podcast page on a 27-year-old domain; no credential or payment forms, no threat-intel, YARA or IDS hits. Legitimate news content.

Safety Factors (6)
Established 27-year-old news/talk radio domain (NPR member station)
Content consistent with a genuine news/podcast page: byline, publication date, program schedule
No credential, payment or login fields anywhere on the page
Threat intelligence, YARA, kit roster and IDS all returned clean
Third-party hosts are standard ad/CDN/font infrastructure (googlesyndication, NPR CDN, Google Fonts)
Sign-up link points to a legitimate Constant Contact mailing-list page
Domain age information unavailable

Details

Page Title

Author, Consultant Patrick Ruffini: Demographic Trends Pointing to GOP Multiracial, Working Class Majority | WVIK, Quad Cities NPR

Scan Type

public

Domain Name Analysis

The domain name 'www.wvik.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. The second-level label 'wvik' is 4 characters long split between 1 vowel and 3 consonants. Segmentation suggests 2 words: wv, ik. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wvik.org/podcast/heartland-politics-with-robin-johnson/2024-02-01/author-consultant-patrick-ruffini-demographic-trends-pointing-to-gop-multiracial-working-class-majority

Page Load Overview

12.16s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:7,446 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism89% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
89%
entertainment media
81%
healthcare medical
64%
government public service
59%
adult content
58%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1718.245.31.112Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.172.112.74Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2192.178.183.154Google · CDNUnited States
AS15169Google LLC
2172.64.147.103Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2142.251.110.97Google · CDNUnited States
AS15169Google LLC
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
22.16.10.157Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.251.20.94Google · CDNUnited States
AS15169Google LLC
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9540--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D04D7B242F0762E4287D2A3AF61B359B8C7181BC9CA5E91F0FC85586F52FC19D1B52C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9tBGj3i3IQTFuvgqOV9QBiOmYwbaiAmLkLAQKCmk:9Q3iZTUiOmYwbaiAmLkLA7w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:175301:kyAUBYJCoBGgCAgoBgsxYTlgIAIAAEmYQ4AxAKHoMmILE6iVfAExJgoohnlIACAIWEEE7oBYhBZRqBsMCUgjVBEQUA5eYs52

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:0000e3fffb87ffbf
Perceptual Hash:bc600e1acbd8b6e5
Difference Hash:398f06330b2e2b23
Wavelet Hash:0000c3ffc387bb9f
Color Hash:#1f5393

Scan History

Scan history not available

Unable to load historical scan data