Security Scan Report: nbcbayarea.com

Redirected to:
https://www.nbcbayarea.com/
Submitted: Jul 20, 2026, 3:58:30 PMCompleted: Jul 20, 2026, 4:00:09 PMpubliccompleted

Summary

This website contacted 12 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is nbcbayarea.com and was registered NaN years ago.

Submitted URL: https://nbcbayarea.com

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

The Cisco Umbrella rank of the primary domain is #126,091 of the top 1 million websites

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Bot Protection Detected

This website is protected by access_denied bot protection. Our scanner was challenged or blocked during access.

Page Title

NBC Bay Area – San Francisco news, weather, breaking news

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

news media journalism

(58%)

Domain Information

The domain name 'nbcbayarea.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'nbcbayarea' covers 10 characters with 4 vowels and 6 consonants. Segmentation suggests three words: nbc, bay, area. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of nbcbayarea.com

Page Load Overview

0.22s
Total Load Time
3
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:212 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism58% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
58%
documentation technical
52%
technology software
50%
government public service
47%
healthcare medical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
0104.18.87.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0108.138.7.5Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
018.66.112.103Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
018.244.18.32Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0104.102.20.23Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
02.17.181.151Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
023.197.133.243Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
023.67.132.201Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0104.102.19.177Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
312--

Page Statistics

3
Requests
2
Unique Domains
1.0 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128E0C2DFE083103B8B125F8B58E33645B5992471629617C86B41E09AC90EFA5980A821

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwyEr6VPWxxdGztAc42dfxFWgcKNRnF/xM4a4dqKNRnFGKqz:kxVRpedgBzckSZ4dqVj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:12e82073635d85f03794d30d3aa592c2

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:1f3fffffffffffff
Perceptual Hash:870707070707fbf9
Difference Hash:e040000000000000
Wavelet Hash:1030f0f0f0f0f0f0
Color Hash:#afc587

Other Hashes

Crop Resistant:e040000000000000

Scan History

Scan history not available

Unable to load historical scan data