Summary
This website contacted 21 IPs in 2 countries across 14 domains to perform 87 HTTP transactions. The main domain is fromlongisland.com and was registered NaN years ago.
Submitted URL: https://fromlongisland.com/tag/bruce-blakeman/
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; the site appears legitimate.
Safety Factors
Details
Page Title
Bruce Blakeman | From Long Island
Scan Type
public
Language
English
Category
real estate property
(41%)Domain Information
Domain 'fromlongisland.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'fromlongisland' spans 14 characters split between four vowels and 10 consonants. Tokenizing the label suggests three words: from, long, island. Median word length comes out to 4 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 |
|---|---|---|---|
| 7 | 146.75.120.217 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 69.22.188.40 | United States | AS62804BITSHELTER-NYC |
| 4 | 192.124.249.68 | Menifee, California, United States | AS30148SUCURI-SEC |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 162.159.138.60 | United States | AS13335CLOUDFLARENET |
| 4 | 192.124.249.16 | Menifee, California, United States | AS30148SUCURI-SEC |
| 4 | 34.120.202.204 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 142.250.184.200 | United States | AS15169GOOGLE |
| 4 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 87 | 21 | - | - |
Detected Technologies7
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
Unable to load historical scan data