Summary
This website contacted 195 IPs in 8 countries across 64 domains to perform 231 HTTP transactions. The main domain is injuries.gilmanbedigian.com and was registered NaN years ago.
Submitted URL: https://injuries.gilmanbedigian.com/philadelphia/truck-accidents/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate law‑firm site with no security concerns.
Safety Factors
Details
Page Title
Pennsylvania's Leading Truck Accident Injury Lawyers | Gilman & Bedigian, LLC
Scan Type
public
Language
English
Category
other
(50%)Domain Information
You're looking at domain 'injuries.gilmanbedigian.com' on the commercial generic top-level domain (.com) with subdomain 'injuries'. Its registrable label 'gilmanbedigian' stretches across 14 characters holding 6 vowels versus 8 consonants. Tokenizing the label suggests 4 words: gilman, be, dig, ian. Median word length comes out to three 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 |
|---|---|---|---|
| 101 | 50.62.139.100 | United States | AS398101GO-DADDY-COM-LLC |
| 37 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 16 | 98.82.158.241 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 9 | 216.58.206.35 | United States | AS15169GOOGLE |
| 6 | 108.138.26.44 | United States | AS16509AMAZON-02 |
| 5 | 15.197.193.217 | Seattle, Washington, United States | AS16509AMAZON-02 |
| 5 | 3.171.214.84 | United States | AS16509AMAZON-02 |
| 5 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 142.250.184.195 | United States | AS15169GOOGLE |
| 3 | 185.89.210.20 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 231 | 195 | - | - |
Detected Technologies3
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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