Security Scan Report: www.legalreader.com

Submitted: Oct 29, 2025, 1:27:44 PMCompleted: Oct 29, 2025, 1:28:52 PMpubliccompleted
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Summary

This website contacted 22 IPs in 3 countries across 9 domains to perform 37 HTTP transactions. The main domain is legalreader.com and was registered NaN years ago.

Submitted URL: https://www.legalreader.com/5-mistakes-to-avoid-when-looking-for-a-truck-accident-attorney/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Well‑established domain (over 22 years old)
No malicious Indicators of Compromise detected
Only a standard search form present
Content is typical legal informational material
No credential or payment collection
Domain age information unavailable

Details

Page Title

5 Mistakes to Avoid When Looking for a Truck Accident Attorney - Legal Reader

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(40%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.legalreader.com' is registered, featuring subdomain 'www'. Its registrable label 'legalreader' stretches across 11 characters split between five vowels and 6 consonants. Tokenizing the label suggests 2 words: legal, reader. Expect 5.5 characters per word on average. 'legal' is most common in Portuguese (Brazil) usage. Usage also turns up in Catalan and English contexts. Net impression: Portuguese (Brazil) phrase.

Screenshot

Security scan screenshot of https://www.legalreader.com/5-mistakes-to-avoid-when-looking-for-a-truck-accident-attorney/

Page Load Overview

31.32s
Total Load Time
37
HTTP Requests
9
Domains
1.5 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:6,726 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
40%
documentation technical
31%
news media journalism
30%

Detected Features

Search
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16146.75.120.134Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1142.250.184.200United States
AS15169GOOGLE
1142.250.185.202United States
AS15169GOOGLE
1142.250.186.78United States
AS15169GOOGLE
1185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
1216.239.34.36United States
AS15169GOOGLE
1192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
1142.250.185.163United States
AS15169GOOGLE
1162.243.149.201San Francisco, California, United States
AS14061DIGITALOCEAN-ASN
1142.250.186.110United States
AS15169GOOGLE
3722--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A0309A3A58CA4394A1342C8FB25BA8CE1EF8437C64598C1F75E835E67C1E67C0375A6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:wEkmAriEG/TyHeeZY2WK9KfJfbSn87Gu89aqz4/27wc:im6iEG/KeegK9KRfbX7t89aq8/Cwc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38580:gYgMIbEAc6Rg6JmIb6MOEUoDEFZABYoJWMA1AxADCtsIAECCwSEIEsT0iEy0wICEwUgzFaQiEgKxOUJAi+aYwUAzQ5xGHCCc

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:001f1d3010111fff
Perceptual Hash:8e1a9165f162735b
Difference Hash:e77169ad2a6765b9
Wavelet Hash:101f3d3530111fff
Color Hash:#ae87c5

Scan History

Scan history not available

Unable to load historical scan data