Security Scan Report: elialaw.com

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Submitted: Nov 14, 2025, 12:36:33 PMCompleted: Nov 14, 2025, 12:37:43 PMpubliccompleted
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Summary

This website contacted 43 IPs in 3 countries across 9 domains to perform 193 HTTP transactions. The main domain is elialaw.com and was registered NaN years ago.

Submitted URL: https://elialaw.com/san-diego/motorcycle-accident-lawyer/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate law firm site with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of credential or payment collection forms
Content consistent with a legitimate law firm
Domain age information unavailable

Details

Page Title

San Diego Motorcycle Accident Attorneys – Elia Law Firm, APC, Injury Attorneys

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(71%)

Domain Information

You're looking at domain 'elialaw.com' on the commercial generic top-level domain (.com) without a subdomain. The core label 'elialaw' covers 7 characters split between 4 vowels and 3 consonants. Segmentation suggests two words: elia, law. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://elialaw.com/san-diego/motorcycle-accident-lawyer/

Page Load Overview

19.87s
Total Load Time
193
HTTP Requests
9
Domains
6.0 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:15,268 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business71% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
71%
news/blog
20%

Detected Features

Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2554.212.189.9Boardman, Oregon, United States
AS16509AMAZON-02
499.84.152.65United States
AS16509AMAZON-02
43.224.157.97Ashburn, Virginia, United States
AS14618AMAZON-AES
420.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
434.203.87.70Ashburn, Virginia, United States
AS14618AMAZON-AES
454.208.84.168Ashburn, Virginia, United States
AS14618AMAZON-AES
499.84.152.88United States
AS16509AMAZON-02
4104.18.94.41United States
AS13335CLOUDFLARENET
499.84.152.110United States
AS16509AMAZON-02
454.218.37.108Boardman, Oregon, United States
AS16509AMAZON-02
19343--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1629494903C8B5429227F139F60072A5C61DFCCFEFA71A9E0F1BA5112A7BCD9077A1964

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wNtrCs9qCduApY2V5BAPIoi/eReZu6q0/IoiFnnxHu9FGNx1JOWEerPBLn2:wTrCF2V5+wNZujQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:411910:wkQYQLepHI6LCgARmAEhgQQzFBEXgCxJASIkBkESBIgNCaM8lCwQhJ9RCRoDYBnQCB0JQgEABoSJMoBuUzkcHx0EMjNjQgpJ

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:fffd3c1800000000
Perceptual Hash:8acaf3f2f4b1b022
Difference Hash:4c61f1f1656961f1
Wavelet Hash:ffff3d3d31140001
Color Hash:#8ebf40

Scan History

Scan history not available

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