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Security Scan Report: jaklitschlawgroup.com

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Submitted: Nov 22, 2025, 6:11:04 PMCompleted: Nov 22, 2025, 6:12:58 PMpubliccompleted
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Summary

This website contacted 70 IPs in 3 countries across 24 domains to perform 192 HTTP transactions. The main domain is jaklitschlawgroup.com and was registered NaN years ago.

Submitted URL: https://jaklitschlawgroup.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate law firm website with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Standard informational/legal website content
Domain age information unavailable

Details

Page Title

Maryland Personal Injury & Medical Malpractice Services Law Firm Near Me - Jaklitsch Law Group

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(71%)

Domain Information

The domain name 'jaklitschlawgroup.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'jaklitschlawgroup' is 17 characters long split between 5 vowels and 12 consonants. Word splitting yields 5 words: jak, lit, sch, law, group. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jaklitschlawgroup.com/

Page Load Overview

2.05s
Total Load Time
192
HTTP Requests
24
Domains
92.0 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:29,597 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical71% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
71%
government public service
57%
adult content
51%
corporate
35%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
137141.193.213.11United States
AS209242Cloudflare London, LLC
543.225.137.96Ashburn, Virginia, United States
AS14618AMAZON-AES
7142.250.184.232United States
AS15169GOOGLE
63.171.214.93United States
AS16509AMAZON-02
4142.250.186.110United States
AS15169GOOGLE
4216.58.206.35United States
AS15169GOOGLE
434.49.192.216Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
335.71.131.137United States
AS16509AMAZON-02
3142.250.185.100United States
AS15169GOOGLE
352.203.32.30Ashburn, Virginia, United States
AS14618AMAZON-AES
19270--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D274A5213A9A1C3A612F12CFA057331C60E7CFE5E612A6D0F5B741246BB4E9437B35E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:7s70zVg4vlS+sc0Uy70zVg4vlS+sc0U71NEi30GT6eeBxx3Y+ZoClsTH2BqI:X30GRex3Y+hBZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:363552:B4EJSAFVkCgDFgIgsETtASSYBSEkAximkQfgFQORGiwMgEwbIsqGSDUBAoAYYwwEQlR/RMjwKwpKERBCL0BBFiwEgGCI2gNA

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:ffffffff81010101
Perceptual Hash:bec0cb2f33c4182f
Difference Hash:6443362d6f777773
Wavelet Hash:fffffff701000000
Color Hash:#9ad279

Other Hashes

Crop Resistant:6443362d6f777773,7f67b6b6f6f773bb

Scan History

Scan history not available

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