Security Scan Report: www.rula.com

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Submitted: Dec 27, 2025, 5:19:49 PMCompleted: Dec 27, 2025, 5:21:28 PMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 13 domains to perform 157 HTTP transactions. The main domain is rula.com and was registered NaN years ago.

Submitted URL: https://www.rula.com/providers/GA/1952124596-n-dia-smith

The Cisco Umbrella rank of the primary domain is #160,321 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate provider page with no security concerns.

Safety Factors
Well‑established domain with long registration history
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Page title and OCR text align with expected provider information
Domain age information unavailable

Details

Page Title

N'Dia Smith, LCSW - Georgia

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(35%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.rula.com' is registered; it also runs on subdomain 'www'. Its registrable label 'rula' stretches across 4 characters split between two vowels and two consonants. Segmentation suggests 2 words: rul, a. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.rula.com/providers/GA/1952124596-n-dia-smith

Page Load Overview

77.42s
Total Load Time
157
HTTP Requests
0
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:6,469 chars
Detector Agreement:100%

Website Classification

Primary Category

education35% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
35%
corporate
35%
adult content
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8418.245.31.19United States
AS16509AMAZON-02
834.223.141.111UnknownUnknown
83.5.85.105UnknownUnknown
418.245.60.110United States
AS16509AMAZON-02
454.83.60.46UnknownUnknown
313.226.244.18UnknownUnknown
313.226.244.92UnknownUnknown
252.204.199.46UnknownUnknown
2146.75.121.55UnknownUnknown
134.195.23.209UnknownUnknown
013--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F914F9BE6000E89AE873CE9764373F2AE0BA967FDF354498D69DC539C65283817D8C50

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:w3gY610A0ciV7f75W7f7UfDl8GoXu38GMfU5xGVbDtd0UzhDHDDSUi2:mg6fDCXuXxGV/f/zRjDt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:193471:gwoVAIRAs4gpAgJAAQVJgCCg2AEgsBkUGJG6BGEIFCF2wktdPaOWiUZKCRhUAEQgSEDiKIEsAgcMcgAIoUaBUygGEAYKAIxE

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:ff00438100ff9f9f
Perceptual Hash:bc639cc39898e33c
Difference Hash:dc8eaa2d33c83236
Wavelet Hash:ff00420000ffdfdf
Color Hash:#53aca3

Scan History

Scan history not available

Unable to load historical scan data