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Security Scan Report: bazancoffee.com

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Submitted: Aug 5, 2026, 10:21:53 PMCompleted: Aug 5, 2026, 10:24:05 PMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 2 HTTP transactions. The main domain is bazancoffee.com and was registered NaN years ago.

Submitted URL: https://bazancoffee.com/blogs/news/starbucks-menu?srsltid=AfmBOoqYdwx_NGsHvy4vHMD9Vi9q0o1K0ugDny3eFZtcfUBlei8K8GsJ

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The page is a legitimate informational article about Starbucks with no phishing or malware indicators.

Safety Factors
Established domain age
Self-branding aligns with domain
Absence of forms collecting credentials
No threat intelligence matches
No malicious JavaScript or IDS alerts
Domain age information unavailable

Details

Page Title

Navigating the Starbucks Menu: A Comprehensive Guide for Coffee Enthus – Bazan Coffee

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(64%)

Domain Information

Domain 'bazancoffee.com' uses the commercial generic top-level domain (.com) with no subdomain. The core label 'bazancoffee' covers 11 characters split between 5 vowels and 6 consonants. It segments into three words: baz, an, coffee. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bazancoffee.com/blogs/news/starbucks-menu?srsltid=AfmBOoqYdwx_NGsHvy4vHMD9Vi9q0o1K0ugDny3eFZtcfUBlei8K8GsJ

Page Load Overview

30.85s
Total Load Time
288
HTTP Requests
34
Domains
10.5 MB
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:14,412 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network64% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
64%
education learning
64%
news/blog
50%
blog personal website
43%
adult content
37%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36172.66.151.76Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
36146.75.122.133Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3623.227.39.20Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
36104.21.30.57Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
36104.18.39.141Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
36142.251.20.132Google · CDNUnited States
AS15169Google LLC
3623.227.38.73Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
3623.227.39.200Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
2888--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E845CA6D07A1936099302F173BF274BFA2C6007A2A5C492B5DD83181FE97995336DCF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:7ojIzk6D+cNwamS6S5GNrF94+2lzKBocxFWOno5la:7bkITBGNGGPxFTno58

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:378570:IEA4CQg1BAmVDfRJBOAyyPBOAAyHAUBS0QA0nAAESpjjEgHhIYESg1GiAUBQCRIGqQYuURc6zEEQVBYQKgwCOguglwnCKRiA

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:0000ffffffffffff
Perceptual Hash:b84e0a1a64b3b3dd
Difference Hash:33318e0f969d959f
Wavelet Hash:0000c3e7c3cfdfc7
Color Hash:#39862d

Other Hashes

Crop Resistant:33318e0f969d959f,2005327214083232

Scan History

Scan history not available

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