Security Scan Report: www.rflaw.net

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Submitted: Oct 4, 2025, 1:57:21 PMCompleted: Oct 4, 2025, 1:58:18 PMpubliccompleted
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Summary

This website contacted 45 IPs in 1 country across 13 domains to perform 70 HTTP transactions. The main domain is rflaw.net and was registered NaN years ago.

Submitted URL: https://www.rflaw.net/what-an-auto-accident-lawyer-can-do-after-a-serious-collision/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears to be a legitimate law‑firm website with no malicious indicators.

Safety Factors
Long domain age and established registration date
Absence of malicious Indicators of Compromise
No forms collecting sensitive data
Consistent branding with a real law firm (address, phone number, free consultation notice)
Domain age information unavailable

Details

Page Title

What an Auto Accident Lawyer Can Do After a Serious Collision - Rosensteel Fleishman Car Accident & Injury Lawyers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(64%)

Domain Information

The domain 'www.rflaw.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'www'. The registrable portion 'rflaw' spans 5 characters split between 1 vowel and four consonants. Splitting it apart reveals two words: rf, law. Expect 2.5 characters per word on average. 'rf' is most common in Sinhala usage. You will also see it in Indonesian and Malay contexts.

Screenshot

Security scan screenshot of https://www.rflaw.net/what-an-auto-accident-lawyer-can-do-after-a-serious-collision/

Page Load Overview

4.73s
Total Load Time
70
HTTP Requests
13
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:21,426 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical64% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
64%
government public service
52%
adult content
48%
documentation technical
45%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26142.250.184.228United States
AS15169GOOGLE
1216.58.206.74United States
AS15169GOOGLE
1142.250.181.234United States
AS15169GOOGLE
1142.250.181.226United States
AS15169GOOGLE
1142.250.186.163United States
AS15169GOOGLE
1216.58.212.138United States
AS15169GOOGLE
1172.217.16.202United States
AS15169GOOGLE
1216.58.206.42United States
AS15169GOOGLE
1142.250.185.138United States
AS15169GOOGLE
1162.159.135.42United States
AS13335CLOUDFLARENET
7045--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139245CE3964CA03913278586F9EEF788E6521593CF5654C1F2BCE10CCF8DAA418F3669

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:T9wvtBE1MUU9W+NKl/kAXcji1PqYmQDQszmxTtM7isII3OHh:JkKd+NKlbTqYmQDpmbh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:224571:ZYwEJkENsAEsDcwSFGQIMV8FZFZhZEBQIZJGMAODBbIQCFIIQBExZ3IEkqGbUKEQpAsAAihoUEoQCUyCCGEHTAu4ZSnAEDK+

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

Average Hash:ff8783c7fffbf3fb
Perceptual Hash:b932cdccc1699e4c
Difference Hash:330f2e1e2b131313
Wavelet Hash:9f8383878bcbc1c3
Color Hash:#a187c5

Scan History

Scan history not available

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