Summary
This website contacted 47 IPs in 4 countries across 12 domains to perform 66 HTTP transactions. The main domain is joltfoundation.org and was registered NaN years ago.
Submitted URL: https://joltfoundation.org/first-snowfall-forecast-2025-2026/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no apparent security risks.
Safety Factors
Details
Page Title
First Snowfall Forecast 2025-2026: When Will Winter’s First Flakes Fall in Your State?
Scan Type
public
Language
English
Category
government public service
(45%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'joltfoundation.org' is registered with no subdomain. The registrable portion 'joltfoundation' spans 14 characters split between six vowels and 8 consonants. Splitting it apart reveals two words: jolt, foundation. Average segment length settles at seven characters. Most frequently, 'jolt' shows up in English. You will also see it in Chinese (Pinyin) and Danish 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 |
|---|---|---|---|
| 34 | 104.21.41.58 | United States | AS13335CLOUDFLARENET |
| 9 | 142.250.186.162 | United States | AS15169GOOGLE |
| 6 | 142.250.185.227 | United States | AS15169GOOGLE |
| 5 | 142.250.184.206 | United States | AS15169GOOGLE |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 142.250.186.42 | United States | AS15169GOOGLE |
| 2 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 2 | 138.199.163.99 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 1 | 142.250.185.97 | United States | AS15169GOOGLE |
| 1 | 172.240.108.76 | United States | AS7979SERVERS-COM |
| 66 | 47 | - | - |
Detected Technologies12
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
Scan history not available
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