Security Scan Report: starbucks.com.gr

Redirected to: https://card.starbucks.com.gr/

Submitted: Jan 21, 2026, 11:05:06 AMCompleted: Jan 21, 2026, 11:06:15 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is card.starbucks.com.gr.

Submitted URL: https://starbucks.com.gr

Effective URL: https://card.starbucks.com.gr/Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Starbucks brand impersonation on an unranked, likely new domain – treat as phishing and do not provide any information.

Risk Factors
Brand impersonation / typosquatting
Unranked domain
New or unknown domain age
Domain age information unavailable

Details

Page Title

Home · Starbucks

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(56%)

Domain Information

You're looking at domain 'starbucks.com.gr' on the Greek country-code top-level domain (.com.gr) with no subdomain. The second-level label 'starbucks' is 9 characters long with two vowels and seven consonants. Breaking it apart gives 1 word: starbucks. Median word length is nine characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://starbucks.com.gr

Page Load Overview

2.25s
Total Load Time
22
HTTP Requests
2
Domains
611 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:4,411 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism56% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
56%
e-commerce shopping
55%
adult content
54%
social media network
43%
blog personal website
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.21.88.66United States
AS13335CLOUDFLARENET
11159.60.146.45United States
AS35280F5 Networks SARL
222--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F533D835F244103F4213D199A1D0BB8862A9B34BC6434D9EBAAE2174DFC7FD65832B5B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:988JUpz6Ps88Q92UYfGec8VXLxkCo+9EEvznK2Ri5ePyW/CZJy2FCo2cJ+JwOfMP:m8ns88K72VZMPH4+osAR9oT4ceOFBJ0m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52258:KAokTAmhQMG2qYDG2VgOAKocFBjUBBHAAggAShhpEAAQlcDECOQA0BoUoAkwYcAKA9KCyIEBSwWUSIQToitQLFABjXPTKkBY

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:ff1f1f1f1f1f1f00
Perceptual Hash:9c84738571e0f373
Difference Hash:f47efdb7bb787709
Wavelet Hash:7f1f1f1f1f1f0000
Color Hash:#6fac53

Scan History

Scan history not available

Unable to load historical scan data