Security Scan Report: starbucks.cashstar.com

Redirected to:
https://www.starbucks.com/gift
Site favicon
Submitted: Jul 18, 2026, 8:14:27 PMCompleted: Jul 18, 2026, 8:16:08 PMpubliccompleted

This website contacted 3 IPs in 2 countries across 26 domains to perform 286 HTTP transactions. The main domain is starbucks.com and was registered 32 years ago.

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

Effective URL:

https://www.starbucks.com/gift
Redirected

The Cisco Umbrella rank of the primary domain is #84,238 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

The site appears legitimate, with self‑branding, no forms, and no malicious indicators.

Safety Factors (5)
Established domain age
Self‑branding aligns with domain
Absence of forms or credential collection
No malicious IoC or YARA detections
No IDS or Safe Browsing alerts
Domain age information unavailable

Details

Page Title

Gift Cards: Starbucks Coffee Company

Scan Type

public

Domain Name Analysis

The domain name 'starbucks.cashstar.com' uses the commercial generic top-level domain (.com), featuring subdomain 'starbucks'. Its registrable label 'cashstar' stretches across 8 characters containing 2 vowels alongside 6 consonants. Tokenizing the label suggests two words: cash, star. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

13.60s
Total Load Time
30.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:9,899 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping26% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

e-commerce shopping
26%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
96146.75.121.24Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
952.23.244.186Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
9565.8.131.53Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2863--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193643C2AA15011BB1F4753E5BA5B3F8DB6F6403FC2015889FDFD422C239AEC6127B589

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tmY1gKY9F1v6DTWCIO36yW1nkS3W8MTrJGLC2BGGrPxq7SZJUre8bE9Np6zNp7zi:tmYDGrEiYNI8p7z5WrHw7AfdF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:316699:EYkAUaCATGsIcR0ligCGLBRYOEIAKyQgKFILlEQ4ABVAQcBJEBtSIXESWUCBDyIioAhQDBFgQSsQGIJAAxkWIOJ4CRQBCFRs

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:fe6c24243effffff
Perceptual Hash:c252fcbda50fd842
Difference Hash:72cccdd5cc555555
Wavelet Hash:7e24240024ffa9ff
Color Hash:#2d6fd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data