Summary
This website contacted 26 IPs in 3 countries across 6 domains to perform 62 HTTP transactions. The main domain is litimes.org and was registered NaN years ago.
Submitted URL: https://www.litimes.org/2025/10/28/first-responders-and-veterans-get-free-burger-at-fords-garage/
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and is legitimate.
Safety Factors
Details
Page Title
First responders and veterans get free burger at Ford’s Garage – The Long Island Times
Scan Type
public
Language
English
Category
news/blog
(90%)Domain Information
Domain 'www.litimes.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. Count 7 characters in 'litimes' containing three vowels alongside 4 consonants. Tokenizing the label suggests 2 words: li, times. Median word length comes out to 3.5 characters. The linguistic tilt is Esperanto for 'li'. It also appears in Bosnian and Serbian 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 |
|---|---|---|---|
| 12 | 104.26.1.115 | United States | AS13335CLOUDFLARENET |
| 2 | 142.251.168.156 | United States | AS15169GOOGLE |
| 2 | 172.67.73.221 | United States | AS13335CLOUDFLARENET |
| 2 | 34.139.101.37 | North Charleston, South Carolina, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 142.250.185.163 | United States | AS15169GOOGLE |
| 2 | 104.16.79.73 | United States | AS13335CLOUDFLARENET |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 104.26.0.115 | United States | AS13335CLOUDFLARENET |
| 2 | 104.16.80.73 | United States | AS13335CLOUDFLARENET |
| 2 | 142.251.168.157 | United States | AS15169GOOGLE |
| 62 | 26 | - | - |
Detected Technologies15
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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