ScanMalware.com

Security Scan Report: www.lawsuit-information-center.com

Site favicon
Submitted: Oct 4, 2025, 12:59:39 PMCompleted: Oct 4, 2025, 1:00:34 PMpubliccompleted
Loading additional data...

Summary

This website contacted 51 IPs in 2 countries across 14 domains to perform 110 HTTP transactions. The main domain is lawsuit-information-center.com and was registered NaN years ago.

Submitted URL: https://www.lawsuit-information-center.com/best-auto-accident-lawyer-near-you.html

AI Security Verdict

Safe Website

Confidence: 85%

2
Risk Score

The site appears legitimate with low risk; no malicious activity detected.

Risk Factors
Domain is UNRANKED in Cisco Umbrella (not in top 1M)
Legal‑service sites can be used for spam or low‑quality leads
Safety Factors
Well‑established domain age reduces suspicion
No credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Find the Best Car Accident Lawyer Near You

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

Domain 'www.lawsuit-information-center.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'lawsuit-information-center' spans 26 characters holding ten vowels versus 14 consonants, plus two hyphens. Word splitting yields three words: lawsuit, information, center. Median word length is 7 characters. Most frequently, 'lawsuit' shows up in Chinese (Pinyin). Secondary signals appear in English and Swedish.

Screenshot

Security scan screenshot of https://www.lawsuit-information-center.com/best-auto-accident-lawyer-near-you.html

Page Load Overview

10.12s
Total Load Time
110
HTTP Requests
14
Domains
2.6 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:15,723 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
59%
adult content
46%
news media journalism
42%
education learning
36%
news/blog
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10151.101.192.134San Francisco, California, United States
AS54113FASTLY
218.66.147.21United States
AS16509AMAZON-02
23.171.214.73United States
AS16509AMAZON-02
2142.250.186.131United States
AS15169GOOGLE
2143.204.215.12United States
AS16509AMAZON-02
2216.239.32.36United States
AS15169GOOGLE
218.66.147.49United States
AS16509AMAZON-02
2143.204.215.125United States
AS16509AMAZON-02
23.171.214.105United States
AS16509AMAZON-02
2142.250.185.170United States
AS15169GOOGLE
11051--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC731AB7D1888426175743D8B062FB1CE2638269CB1499D5B5FC9268639AEF303773CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FS56bap7wdt7BDGzYJ/cnNR3nBDDtV06p6/P3EiO3eby2N5r:F/+Jwdt7IFR3W6p6/P3EiO3eby2NZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75084:VKACEgBsDGFKRCR5BFSX2GUQBQlQyDVEvMjWLMC0thGCKEoBA0AIUSRMoBKakLsmwCGYWM4I6YhAJSBhiArChJRK8gAoLjFL

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:0000f9fbfffbf900
Perceptual Hash:e916161616e96be9
Difference Hash:e5e5333337133333
Wavelet Hash:0000f9fbfbf9f900
Color Hash:#7f2dd2

Other Hashes

Crop Resistant:e5e5333337133333,e2e2d2e0b2b6e0a2,b2330ce4e4c419f0,3333333313333313

Scan History

Scan history not available

Unable to load historical scan data