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Security Scan Report: www.lawyer-monthly.com

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Submitted: Oct 16, 2025, 2:49:41 PMCompleted: Oct 16, 2025, 2:52:59 PMpubliccompleted
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Summary

This website contacted 81 IPs in 4 countries across 28 domains to perform 160 HTTP transactions. The main domain is lawyer-monthly.com and was registered NaN years ago.

Submitted URL: https://www.lawyer-monthly.com/2025/10/jennifer-lopez-alex-rodriguez-madison-lecroy-legal-dms/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with long registration history
No credential‑harvesting or payment forms
Content appears consistent with a legitimate legal news site
Domain age information unavailable

Details

Page Title

Jennifer Lopez, A-Rod & LeCroy: DMs as Legal Evidence

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(50%)

Domain Information

The domain 'www.lawyer-monthly.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'lawyer-monthly' covers 14 characters with three vowels and ten consonants; bonus characters include 1 hyphen. Breaking it apart gives two words: lawyer, monthly. Average segment length settles at 6.5 characters. 'lawyer' most strongly signals English. You may catch it in Chinese (Pinyin) and Vietnamese as well.

Screenshot

Security scan screenshot of https://www.lawyer-monthly.com/2025/10/jennifer-lopez-alex-rodriguez-madison-lecroy-legal-dms/

Page Load Overview

6.33s
Total Load Time
160
HTTP Requests
28
Domains
4.1 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-GB
Text Length:21,561 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
50%
documentation technical
47%
news/blog
35%
corporate
35%
forum
25%

Detected Features

Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44165.22.120.97Slough, England, United Kingdom
AS14061DIGITALOCEAN-ASN
42104.17.198.65United States
AS13335CLOUDFLARENET
19172.217.18.3United States
AS15169GOOGLE
518.66.102.118United States
AS16509AMAZON-02
552.33.176.204Boardman, Oregon, United States
AS16509AMAZON-02
323.50.131.68Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
23.160.150.108United States
AS16509AMAZON-02
2216.239.34.36United States
AS15169GOOGLE
2104.20.23.13United States
AS13335CLOUDFLARENET
235.201.76.231Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
16081--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155843B62A9A820B863330059A6DFB74D73254203C707DDE5B6BCA264CFC4ED119E67ED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ePGI9yu3xX4cdyAqxD5RmtItAK5RmtItA25bacv9x:oyuhpdyAqJbmtItxbmtIt55bawx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:377096:DKVAKGgxWBAGwjAEQuEnQAcEFkTwYpUgCzygwIz0wAKTg2gAWIRLDTgAoMHkwOuNLaFiEECURRhCATAUajAgDBBhCcXiT5AM

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:0018ffffdfdbdb83
Perceptual Hash:ad1267183649b6ed
Difference Hash:cc23223323323327
Wavelet Hash:0000ffffdb9b8981
Color Hash:#53ac8d

Other Hashes

Crop Resistant:cc23223323323327,d4d3ccccccc3ccf0,c448085c5910b0a4,6b09c9d12125229a

Scan History

Scan history not available

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