Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is p.liadm.com and was registered NaN years ago.
Submitted URL: https://sli.fantasypros.com
Effective URL: https://p.liadm.com/?_lc2_fpi=3565cae071c2--01kv00wx93ed4rrmz359d24yprRedirected
The Cisco Umbrella rank of the primary domain is #37,591 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 99%
AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
UNKNOWN
Category
unknown
(0%)Domain Information
Within the commercial generic top-level domain (.com), 'sli.fantasypros.com' is registered, featuring subdomain 'sli'. The registrable portion 'fantasypros' spans 11 characters with 3 vowels and eight consonants. It segments into 2 words: fantasy, pros. Expect 5.5 characters per word on average. 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 |
|---|---|---|---|
| 2 | 99.84.152.67 | United States | AS16509Amazon.com, Inc. |
| 1 | 3.210.144.133 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 3 | 2 | - | - |
Detected Technologies3
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data