Security Scan Report: www.rossfellercasey.com

Submitted: Nov 17, 2025, 11:35:40 AMCompleted: Nov 17, 2025, 11:38:30 AMpubliccompleted
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Summary

This website contacted 11 IPs in 0 countries across 6 domains to perform 50 HTTP transactions. The main domain is rossfellercasey.com and was registered NaN years ago.

Submitted URL: https://www.rossfellercasey.com/author/danielmcgrath/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate law firm author page with no security concerns.

Safety Factors
Established domain registered since 2006
No malicious Indicators of Compromise detected
No sensitive data collection forms
Page title and OCR text match legitimate legal services
Domain age information unavailable

Details

Page Title

Law Articles by Daniel McGrath | Ross Feller Casey, LLP

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(72%)

Domain Information

Domain 'www.rossfellercasey.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The second-level label 'rossfellercasey' is 15 characters long split between 5 vowels and ten consonants. Tokenizing the label suggests 3 words: ross, feller, casey. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.rossfellercasey.com/author/danielmcgrath/

Page Load Overview

111.89s
Total Load Time
50
HTTP Requests
6
Domains
299 KB
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
Text Length:4,273 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
72%
government public service
45%
documentation technical
35%
education learning
35%
social media network
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.250.185.136UnknownUnknown
445.55.49.213UnknownUnknown
4109.61.86.193UnknownUnknown
476.223.116.242UnknownUnknown
418.245.60.77UnknownUnknown
418.245.60.9UnknownUnknown
418.245.60.90UnknownUnknown
413.248.238.122UnknownUnknown
42a02:6ea0:f904::1163:1UnknownUnknown
42a00:1450:4001:80b::2008UnknownUnknown
5011--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13843A4B1424E2DBF130642D3B234B55C90BF9E32B57683F2F67B8505A682D839B561AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/iqGxIsRIxAGyrK7x6FUeEn20ozQ5fWObGyrK7xgr076qgsRIxTuvx844NLbwtxd:6qGxIsRIxAGyrK7x6UeEn20ozQ5eObGd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58343:FYYhymAYQmASIFDtVASigBi8FCpqAghgACgjDAUAz4BjUEUAR6ghoEMlSMJIQAoikw1u+gUBQCIoQYXBMITIJEChCqmIRAG1

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:fdff8fbfff8980c1
Perceptual Hash:bac76a5cc33a8561
Difference Hash:49411a7958331119
Wavelet Hash:fcff8f8f9f800080
Color Hash:#2d6cd2

Scan History

Scan history not available

Unable to load historical scan data