Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is fingerlakesdailynews.com and was registered NaN years ago.
Submitted URL: https://www.fingerlakesdailynews.com
The Cisco Umbrella rank of the primary domain is #863,821 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 85%
The site appears to be a legitimate news outlet with no malicious indicators.
Safety Factors
Details
Page Title
Finger Lakes Daily News
Scan Type
public
Language
English
Category
news media journalism
(72%)Domain Information
You're looking at domain 'www.fingerlakesdailynews.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. The core label 'fingerlakesdailynews' covers 20 characters split between 7 vowels and 13 consonants. Breaking it apart gives four words: finger, lakes, daily, news. Median word length is five 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 |
|---|---|---|---|
| 33 | 142.251.13.97Google · CDN | United States | AS15169Google LLC |
| 32 | 104.26.3.27Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 65 | 2 | - | - |
Page Statistics
Detected Technologies9
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
Scan History
Scan history not available
Unable to load historical scan data