ScanMalware.com

Security Scan Report: austinbankslaw.com

Redirected to: https://austinbankslaw.com/social-security-disability/

Submitted: Mar 25, 2026, 9:31:32 PMCompleted: Mar 25, 2026, 9:33:08 PMpubliccompleted
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Summary

This website contacted 24 IPs in 3 countries across 19 domains to perform 112 HTTP transactions. The main domain is austinbankslaw.com and was registered NaN years ago.

Submitted URL: https://austinbankslaw.com/?p=379

Effective URL: https://austinbankslaw.com/social-security-disability/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate law‑firm page providing Social Security Disability information.

Safety Factors
Established domain with long registration history
No credential or payment collection forms
No JavaScript malware or suspicious behavior detected
Informational article about Social Security Disability
Standard contact/email form only
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by access_denied bot protection. Our scanner was challenged or blocked during access.

Page Title

Social Security Disability Lawyer | Austin & Banks Law Firm

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(69%)

Domain Information

Within the commercial generic top-level domain (.com), 'austinbankslaw.com' is registered with no subdomain. The core label 'austinbankslaw' covers 14 characters containing 5 vowels alongside nine consonants. Tokenizing the label suggests three words: austin, banks, law. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://austinbankslaw.com/?p=379

Page Load Overview

4.83s
Total Load Time
112
HTTP Requests
19
Domains
2.3 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:7,509 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service69% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
69%
news/blog
50%
healthcare medical
48%
adult content
44%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
202.16.10.166Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4172.217.20.142United States
AS15169Google LLC
4142.251.14.119United States
AS15169Google LLC
4216.58.206.36United States
AS15169Google LLC
4172.217.16.202United States
AS15169Google LLC
498.98.135.24Amsterdam, North Holland, Netherlands
AS21859Zenlayer Inc
4142.250.154.93United States
AS15169Google LLC
4142.251.127.156United States
AS15169Google LLC
4172.217.16.214United States
AS15169Google LLC
4216.239.34.36United States
AS15169Google LLC
11224--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13FD3E772B8462036511F59CBA05B6B0C6185D29ECB8097E1B6FC1268CFBADE573F235C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3lyXzypFeEYsVlVx/u64wec5c4SycAARmOG4tUPM:3llTFYs7Tx8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:134095:UAoDILShagoEswWINBUQvg4AI6kACVCwHIMWQV6AIMlBIkRJgSDSFACkTIZUIcFFCAQWjSsAkIQUBEBMB9UUgDCLgOhqpLBd

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:ff000257070000ff
Perceptual Hash:b5cdcb82b4c8b2a3
Difference Hash:f0769ea6cedcd12c
Wavelet Hash:ff000277670701ff
Color Hash:#c5d279

Other Hashes

Crop Resistant:f0769ea6cedcd12c,a2c2e2c0e2e280a2,2423d28cacacac8c,764ea6e6ceddd32c

Scan History

Scan history not available

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