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Security Scan Report: retailcrm.pro

Redirected to:
https://www.simla.com/
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Submitted: Jun 16, 2026, 3:14:30 AMCompleted: Jun 16, 2026, 3:16:14 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is simla.com and was registered NaN years ago.

Submitted URL: https://retailcrm.pro

Effective URL: https://www.simla.com/Redirected

The Cisco Umbrella rank of the primary domain is #588,805 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 78%

0
Risk Score

The site shows no malicious indicators, uses its own brand, and has a long‑standing domain; it is classified as legitimate.

Safety Factors
Well‑established domain with decades of registration
Self‑branding aligns with the domain (no brand impersonation)
Absence of credential or payment collection forms
No IDS or network alerts indicating phishing or malware
No known malicious kits or YARA detections
Domain age information unavailable

Details

Page Title

Convierte los chats de tus messengers en ventas y gana la lealtad de tus clientes | Simla.com

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

social media network

(95%)

Domain Information

Domain 'retailcrm.pro' uses the .pro top-level domain. The second-level label 'retailcrm' is 9 characters long with three vowels and six consonants. Tokenizing the label suggests three words: retail, cr, m. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://retailcrm.pro

Page Load Overview

8.85s
Total Load Time
273
HTTP Requests
27
Domains
3.0 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:1,862 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network95% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
95%
corporate business
95%
technology software
92%
e-commerce shopping
74%
government public service
65%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3982.202.233.91St Petersburg, St.-Petersburg, Russia
AS49505JSC Selectel
39142.251.127.95United States
AS15169Google LLC
3913.226.247.18United States
AS16509Amazon.com, Inc.
39104.18.161.117United States
AS13335Cloudflare, Inc.
39198.202.211.1United States
AS209242Cloudflare London, LLC
39104.18.0.22United States
AS13335Cloudflare, Inc.
39104.17.207.5United States
AS13335Cloudflare, Inc.
2737--

Detected Technologies1

Google Tag Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FB4F177D2400E034E5653ECFAF44F6EBD4B12CDC654808EE7904ED6A7E0954BAA928F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:AfusjYj6tTXlh3jijzjgjBEjQEU2RbRtTXmtTXstTXojGx:AjjWqTlN43uUQEU2RbDTeTYTmE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500082:JBEAB0pC4oDANeAEKAFpX0ABkg0b0ImUIFDCRVYhARsswAYYbDEYlcKYknAgCyUESMVQ4FbhEEkjxAyGgoUAAWMACUBC2sbI

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:fdc7c3e7d9878798
Perceptual Hash:bee35c9acb225948
Difference Hash:699e9e4c332b2b32
Wavelet Hash:b9c3c3e7d9838198
Color Hash:#796ce0

Other Hashes

Crop Resistant:699e9e4c332b2b32,08268d88c8d03289

Scan History

Scan history not available

Unable to load historical scan data