Summary
This website contacted 16 IPs in 1 country across 7 domains to perform 3 HTTP transactions. The main domain is jennifarley.com and was registered 16 years ago.
Submitted URL: https://www.jennifarley.com/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate, with no malicious indicators or phishing elements.
Safety Factors
Details
Page Title
Jenni JWOWW Farley | TV Personality
Scan Type
public
Language
English
Category
entertainment media
(92%)Domain Information
Within the commercial generic top-level domain (.com), 'www.jennifarley.com' is registered, featuring subdomain 'www'. Its registrable label 'jennifarley' stretches across 11 characters split between four vowels and 7 consonants. Tokenizing the label suggests 3 words: jenn, i, farley. The median word length lands at four 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 |
|---|---|---|---|
| 15 | 65.8.131.77Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 6 | 34.49.229.81Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 6 | 34.192.86.107Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 6 | 172.66.3.8Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 6 | 151.101.2.217Fastly · CDN | United States | AS54113Fastly, Inc. |
| 6 | 34.149.206.255Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 6 | 34.203.100.204Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 6 | 65.8.131.76Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 6 | 65.8.131.55Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 6 | 52.73.177.110Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 105 | 16 | - | - |
Page Statistics
Detected Technologies7
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