Summary
This website contacted 198 IPs in 7 countries across 56 domains to perform 471 HTTP transactions. The main domain is farmersalmanac.com and was registered NaN years ago.
Submitted URL: https://www.farmersalmanac.com/what-la-nina
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
What Is La Niña And How Does It Affect Our Weather? - Farmers' Almanac - Plan Your Day. Grow Your Life.
Scan Type
public
Language
English
Category
documentation technical
(36%)Domain Information
The domain name 'www.farmersalmanac.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 14 characters in 'farmersalmanac' holding 5 vowels versus 9 consonants. It segments into 2 words: farmers, almanac. The median word length lands at seven characters. The linguistic tilt is English for 'farmers'. You will also see it in Chinese (Pinyin) and Malay contexts.
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 |
|---|---|---|---|
| 90 | 104.26.9.63 | United States | AS13335CLOUDFLARENET |
| 21 | 52.30.171.177 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 21 | 35.186.253.211 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 21 | 18.196.102.40 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 18 | 116.203.35.84 | Nuremberg, Bavaria, Germany | AS24940Hetzner Online GmbH |
| 18 | 104.18.26.193 | United States | AS13335CLOUDFLARENET |
| 18 | 130.61.225.139 | Frankfurt am Main, Hesse, Germany | AS31898ORACLE-BMC-31898 |
| 17 | 52.223.6.21 | United States | AS16509AMAZON-02 |
| 17 | 185.89.210.90 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 17 | 178.250.1.38 | France | AS44788Criteo Technology SAS |
| 471 | 198 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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