Security Scan Report: www.nbc15.com

Redirected to:
https://www.wmtv15news.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 103 IPs in 9 countries across 97 domains to perform 502 HTTP transactions. The main domain is nbc15.com and was registered 30 years ago.

Submitted URL: https://www.nbc15.com

Effective URL:
https://www.wmtv15news.com/
Redirected

The Cisco Umbrella rank of the primary domain is #722,644 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate WMTV 15 local news site. The nbc15.com entry URL redirects to the brand's own wmtv15news.com; normal newsroom content, no credential or payment forms, and no threat-intel, hunting rule or IDS hits.

Safety Factors (4)
Page presents its own brand (WMTV 15) consistent with the destination domain wmtv15news.com
No credential or payment forms present; the only form is a Taboola analytics beacon
Clean threat intelligence, JavaScript and network-alert results
Content matches a genuine regional broadcaster's newsroom output with AP attribution and dated bylines
Domain age information unavailable

Details

Page Title

WMTV 15 NEWS | Breaking News, Weather, Sports | Madison, WI

Scan Type

public

Domain Name Analysis

Domain 'www.nbc15.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'nbc15' covers 5 characters split between 0 vowels and three consonants; bonus characters include two digits. Breaking it apart gives two words: nbc, 15. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.nbc15.com

Page Load Overview

7.71s
Total Load Time
10.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:10,796 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism88% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
88%
government public service
88%
adult content
80%
technology software
77%
finance banking
75%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
942.21.110.200Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
42.21.110.208Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
495.100.154.178Akamai · CDNBallerup Municipality, Capital Region, Denmark
AS20940Akamai International B.V.
495.100.154.137Akamai · CDNBallerup Municipality, Capital Region, Denmark
AS20940Akamai International B.V.
413.32.121.82Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
4146.75.121.44Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4143.204.179.149Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4151.101.129.91Fastly · CDNUnited States
AS54113Fastly, Inc.
4143.204.173.87Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
502103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11DF43D32F9252DB6825B57E5B8D23B0453EAD212C2C55E48E6F6C71C4BCE99C1323B8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:XnJeTdDY362QLSvCKYE7yDZYmI4ZenGYYvRH2/lDwc8oEc8NdHpWOkO:32dDY362QLSvCKYEvBYbcecQp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:781214:QggQIXMlCQDgBM6ARNEBFc1xgKIlZUWApgSYBVFgAayjRBMOAlIkSFGkAk4YIEpTcKcAgkYACoQQCELODhMEhAiYicmgBCqS

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data