Summary
This website contacted 78 IPs in 2 countries across 26 domains to perform 153 HTTP transactions. The main domain is slkpplaw.com and was registered NaN years ago.
Submitted URL: https://www.slkpplaw.com/
AI Security Verdict
Safe Website
Confidence: 92%
The site appears to be a legitimate law‑firm website with no signs of phishing or malware.
Safety Factors
Details
Page Title
Personal Injury Lawyers & Attorneys Racine & Kenosha, Wisconsin (WI)
Scan Type
public
Language
English
Category
government public service
(28%)Domain Information
Within the commercial generic top-level domain (.com), 'www.slkpplaw.com' is registered; it also runs on subdomain 'www'. Its registrable label 'slkpplaw' stretches across 8 characters holding one vowel versus 7 consonants. Splitting it apart reveals 4 words: s, lk, pp, law. The median word length lands at 2 characters. 's' most strongly signals Sinhala. It also appears in English and Malay 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 |
|---|---|---|---|
| 76 | 13.35.58.114 | United States | AS16509AMAZON-02 |
| 1 | 142.250.185.66 | United States | AS15169GOOGLE |
| 1 | 99.86.4.81 | United States | AS16509AMAZON-02 |
| 1 | 52.21.90.16 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 13.35.58.75 | United States | AS16509AMAZON-02 |
| 1 | 52.216.51.65 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 1 | 37.252.172.123 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 1 | 52.217.100.212 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 1 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 13.35.58.108 | United States | AS16509AMAZON-02 |
| 153 | 78 | - | - |
Detected Technologies10
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
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