Summary
This website contacted 7 IPs in 2 countries across 13 domains to perform 2 HTTP transactions. The main domain is atowndailynews.com and was registered 28 years ago.
Submitted URL: https://atowndailynews.com/atascadero-community-band-names-david-landers-resident-conductor/78317/
AI Security Verdict
Safe Website
Confidence: 88%
The site appears legitimate: established domain, self‑branding, standard WordPress login, and no malicious indicators.
Safety Factors
Details
Page Title
Atascadero Community Band names David Landers resident conductor - A-Town Daily News – Atascadero News Leader
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
You're looking at domain 'atowndailynews.com' on the commercial generic top-level domain (.com) with no subdomain. The second-level label 'atowndailynews' is 14 characters long split between five vowels and 9 consonants. It segments into 4 words: a, town, daily, news. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 15 | 192.124.249.11 | Menifee, California, United States | AS30148Sucuri |
| 13 | 172.66.41.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 13 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 13 | 173.249.147.218 | United States | AS40819Liquid Web, L.L.C |
| 13 | 104.16.160.145Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 13 | 23.53.42.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 13 | 192.0.73.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 93 | 7 | - | - |
Page Statistics
Detected Technologies14
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data