Security Scan Report: www.stanbeardenlawfirm.com

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Submitted: Jul 4, 2026, 11:13:18 AMCompleted: Jul 4, 2026, 11:14:50 AMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 2 HTTP transactions. The main domain is stanbeardenlawfirm.com and was registered NaN years ago.

Submitted URL: https://www.stanbeardenlawfirm.com/practice-areas/personal-injury/motorcycle-accidents/

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

Site shows no phishing or malware signs; primary concern is high JS obfuscation and unranked domain, but overall appears legitimate.

Risk Factors
Critical JavaScript obfuscation score (base64, high entropy, excessive concatenation)
Domain is unranked in Cisco Umbrella (weak signal)
Page unreachable (ERR_TIMED_OUT) – could indicate misconfiguration
Safety Factors
Long‑standing domain registration (13 years)
No forms collecting credentials or payments
No external malicious links or resources
No detected malware or network‑level threats
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

www.stanbeardenlawfirm.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.stanbeardenlawfirm.com' is registered; it also runs on subdomain 'www'. The registrable portion 'stanbeardenlawfirm' spans 18 characters containing six vowels alongside twelve consonants. Splitting it apart reveals 4 words: stan, bearden, law, firm. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.stanbeardenlawfirm.com/practice-areas/personal-injury/motorcycle-accidents/

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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
Text Length:774 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
62%
adult content
54%
government public service
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.251.110.97Google · CDNUnited States
AS15169Google LLC
052.24.184.195Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
0142.250.154.95Google · CDNUnited States
AS15169Google LLC
0104.16.78.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
018.66.137.65Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E048E77329A063986558498F05B83099F20B143F506C8BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:g/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPM2bMy8OldR:BhoC9JSqzzbs6okSjggcpsU2eAP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:188069:qGXMxAwYEDQAAzxTshMABKTIQBQDQhAYQiLKBc8AIA2Qw4JJAwYwNQlNYBgAMkVsOQLQgohP0FBOiR0Z0BhpAYIwoGYfEAhK

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:33130707c0f0f0f0
Color Hash:#2d8637

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data