Security Scan Report: tienda.coca-cola.com.ar

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Submitted: Dec 8, 2025, 12:00:03 AMCompleted: Dec 8, 2025, 12:01:06 AMpubliccompleted
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Summary

This website contacted 148 IPs in 4 countries across 32 domains to perform 255 HTTP transactions. The main domain is tienda.coca-cola.com.ar and was registered NaN years ago.

Submitted URL: https://tienda.coca-cola.com.ar/?srsltid=AfmBOoqngt-Tbnr0ltwM5g4pyN03Bjv2fi2DdY_8EVCVJf9l7FNhwWq6

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate Coca‑Cola store page with no security concerns.

Safety Factors
Official brand subdomain of coca-cola.com.ar
Long‑standing domain registration
Only non‑sensitive data collected
Domain age information unavailable

Details

Page Title

Andina - Coca-Cola

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

corporate

(50%)

Domain Information

You're looking at domain 'tienda.coca-cola.com.ar' on the Argentine country-code top-level domain (.com.ar); it also runs on subdomain 'tienda'. The second-level label 'coca-cola' is 9 characters long holding 4 vowels versus 4 consonants, notching 1 hyphen. Word splitting yields 2 words: coca, cola. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tienda.coca-cola.com.ar/?srsltid=AfmBOoqngt-Tbnr0ltwM5g4pyN03Bjv2fi2DdY_8EVCVJf9l7FNhwWq6

Page Load Overview

21.91s
Total Load Time
255
HTTP Requests
32
Domains
5.5 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-AR
Text Length:2,842 chars
Detector Agreement:75%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10813.32.121.88New York, New York, United States
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
113.32.121.100New York, New York, United States
AS16509AMAZON-02
123.212.203.186Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
113.32.121.98New York, New York, United States
AS16509AMAZON-02
144.214.184.88Ashburn, Virginia, United States
AS14618AMAZON-AES
1142.250.186.163United States
AS15169GOOGLE
1142.250.185.106United States
AS15169GOOGLE
1142.250.186.131United States
AS15169GOOGLE
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
255148--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB34B9B892102079941B4799F730BB6EF2D3A75FC782C444E5DE839A27E7CD48A118DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:LyM984EmlaY7igR7DCpozo6okoYoEgoznRr6dd+E3NTs8C7N:OMCHmlaY7igR7DCpozo6okoYoEgoznR9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:251689:ESRULCUBtlgAAJDiHgEgx4DwKVLAWAKIoQSBFRMBYWpJAQWhEPYMgAjIjKaCYBCCgABgjmxAHApIOIlSAiywBgAQwT0jYIsH

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:01003e3e1818ffff
Perceptual Hash:9f14e04b19a56fd2
Difference Hash:01a0eaf271632203
Wavelet Hash:00007e3e1c18ffff
Color Hash:#40bf80

Other Hashes

Crop Resistant:01a0eaf271632203

Scan History

Scan history not available

Unable to load historical scan data