Summary
This website contacted 38 IPs in 2 countries across 9 domains to perform 50 HTTP transactions. The main domain is goldbergfinnegan.com and was registered NaN years ago.
Submitted URL: https://www.goldbergfinnegan.com/truck-accidents/
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Silver Spring Truck Accident Lawyer | Goldberg Finnegan
Scan Type
public
Language
English
Category
other
(36%)Domain Information
Domain 'www.goldbergfinnegan.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'goldbergfinnegan' stretches across 16 characters containing five vowels alongside eleven consonants. Segmentation suggests three words: goldberg, finn, egan. Average segment length settles at 4 characters. 'goldberg' most strongly signals Latvian. Secondary signals appear in Icelandic and Norwegian. Taken together, it feels Latvian.
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 |
|---|---|---|---|
| 13 | 216.58.212.136 | United States | AS15169GOOGLE |
| 1 | 142.250.186.155 | United States | AS15169GOOGLE |
| 1 | 142.250.185.219 | United States | AS15169GOOGLE |
| 1 | 142.250.181.251 | United States | AS15169GOOGLE |
| 1 | 141.193.213.11 | United States | AS209242Cloudflare London, LLC |
| 1 | 3.171.214.84 | United States | AS16509AMAZON-02 |
| 1 | 3.171.214.93 | United States | AS16509AMAZON-02 |
| 1 | 34.49.70.18 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 50 | 38 | - | - |
Detected Technologies13
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
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