Summary
This website contacted 16 IPs in 1 country across 5 domains to perform 37 HTTP transactions. The main domain is boland-injury-law.com and was registered NaN years ago.
Submitted URL: https://boland-injury-law.com/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate law firm with no phishing or scam indicators.
Safety Factors
Details
Page Title
Queens Personal Injury Lawyer Construction Accident Attorney
Scan Type
public
Language
English
Category
blog personal website
(95%)Domain Information
You're looking at domain 'boland-injury-law.com' on the commercial generic top-level domain (.com). The registrable portion 'boland-injury-law' spans 17 characters containing five vowels alongside ten consonants; bonus characters include 2 hyphens. Splitting it apart reveals three words: boland, injury, law. Average segment length settles at six characters. Most frequently, 'bland' shows up in English. It also appears in Chinese (Pinyin) and Indonesian contexts. Taken together, it feels English with character flair.
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 |
|---|---|---|---|
| 7 | 172.64.154.105 | United States | AS13335CLOUDFLARENET |
| 2 | 104.18.33.8 | United States | AS13335CLOUDFLARENET |
| 2 | 34.21.20.174 | Washington, District of Columbia, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 172.64.148.10 | United States | AS13335CLOUDFLARENET |
| 2 | 104.18.33.151 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.185.228 | United States | AS15169GOOGLE |
| 2 | 2606:4700:4408::6812:27f6 | United States | Unknown |
| 2 | 2a06:98c1:3105::ac40:9af8 | United States | Unknown |
| 2 | 2a06:98c1:310c::ac40:940a | United States | Unknown |
| 2 | 172.64.154.248 | United States | Unknown |
| 37 | 16 | - | - |
Detected Technologies6
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