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Security Scan Report: www.aldridgeandsoutherland.com

Submitted: Oct 23, 2025, 12:46:39 AMCompleted: Oct 23, 2025, 12:48:36 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is aldridgeandsoutherland.com and was registered NaN years ago.

Submitted URL: https://www.aldridgeandsoutherland.com/agent/kevin-osullivan/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site appears legitimate; only minor risk from circular redirect.

Risk Factors
Circular redirect detected (potential URL manipulation indicator)
Safety Factors
Domain registered in 2002 (8526 days old)
No malicious Indicators of Compromise matches
No login, password, or payment forms
Page returns 403 Forbidden, indicating restricted access rather than data collection
Domain age information unavailable

Details

Bot Protection Detected

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

Page Title

Robot Challenge Screen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(42%)

Domain Information

You're looking at domain 'www.aldridgeandsoutherland.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'aldridgeandsoutherland' stretches across 22 characters split between eight vowels and 14 consonants. Tokenizing the label suggests 3 words: aldridge, and, southerland. Median word length is eight characters. Most frequently, 'aldridge' shows up in English. It also appears in Chinese (Pinyin) and Malay contexts.

Screenshot

Security scan screenshot of https://www.aldridgeandsoutherland.com/agent/kevin-osullivan/

Page Load Overview

47.26s
Total Load Time
10
HTTP Requests
4
Domains
88 KB
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:105 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content42% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
42%
documentation technical
37%
news media journalism
33%
blog personal website
30%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.250.185.163United States
AS15169GOOGLE
035.212.36.39Washington, District of Columbia, United States
AS15169GOOGLE
0108.138.2.142United States
AS16509AMAZON-02
0142.250.185.74United States
AS15169GOOGLE
02600:9000:2490:8e00:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:dc00:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:f600:5:acf3:db40:21United States
AS16509AMAZON-02
0108.138.2.34United States
AS16509AMAZON-02
0108.138.2.209United States
AS16509AMAZON-02
0108.138.2.71United States
AS16509AMAZON-02
1017--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E73E1DD37600ED8CC9687D2673821493487B4EDE4504951F29E2BE4FF8B69D4AE068F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9IQS0tz0jiTbitkDfLMerF89xSuvcOKNGYUxYo3myMRdQmy:9r/itkDfLKKW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80656:UgABACUEVARyooAEaoMDTQOIAAmvRiAfMFKgCkqFaCmuIqOIAEwYREhgAYQCVizUoCIQxWgkUqAwAgBICOgK9tAFiNAEFpsG

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:0000000000ffffff
Perceptual Hash:dd029add22b2fd22
Difference Hash:11310a4d32320022
Wavelet Hash:081808009affffff
Color Hash:#9479d2

Other Hashes

Crop Resistant:11310a4d32320022

Scan History

Scan history not available

Unable to load historical scan data